MRA & Flow of Neurovascular Disease |
Exhibit Hall 2-3
Thursday 13:30-15:30 |
|
1328.
Consistent
Automated Planning of Irregular ROI’s for Intracranial MRA MIP’s
Chiel J. den Harder1, Elizabeth A. Moore1,
Arianne M. van Muiswinkel1
1Philips Healthcare, Best, Netherlands
MIP’s of intracranial MRA’s require definition of
regions of interest (ROI’s). Drawing ROI’s manually can be tedious and
error-prone. Alternatively, using automated segmentation to consistently define
ROI’s doesn’t allow for user preferences about shape and position of ROI’s.
1329.
Studying
the Hemodynamics in Cerebral Arteries Using Image-Based Computational Fluid
Dynamics and 4D Phase-Contrast Magnetic Resonance
Juan R. Cebral1, Christopher M. Putman2,
Marcus Alley3, Roland Bammer3, Fernando Calamante4,5
1Computational and Data Sciences, George
Mason University, Fairfax, VA, USA; 2Interventional Neuroradiology,
Inova Fairfax Hospital, Falls Church, VA, USA; 3Department of
Radiology, Stanford University, Stanford, CA, USA; 4Brain Research
Institite, Florey Neurosciences Institutes (Austin), Melbourne, Victoria,
Australia; 5Department of Medicine, University of Melbourne,
Melbourne, Victoria, Australia
Studying the hemodynamics in cerebral arteries using
image-based computational fluid dynamics and 4D phase-contrast magnetic
resonance
1330.
A
New Method for Selective Dynamic MRI Angiography Using Arterial Spin Labeling
Tom Okell1,2, Matthias Guenther3,
David A. Feinberg4, Peter Jezzard1
1FMRIB Centre, University of Oxford,
Oxford, Oxon, UK; 2Churchill Hospital, Oxford, Oxon, UK; 3University
of Heidelberg, Germany; 4Advanced MRI Technologies, CA, USA
In this study we demonstrate for the first time a new
method for non-invasive selective dynamic angiography using the principles of
arterial spin labeling (ASL). A pseudo-continuous ASL labeling module was
inserted in front of a low flip angle flow-compensated cine angiographic
readout module. This allows selective labeling and visualization of the major
feeding arteries to the brain, analogous to the invasive alternative method of
intra-arterial x-ray digital subtraction angiography. The new method has
potential applications in a number of cerebrovascular diseases, such as carotid
or vertebral stenosis, arterio-venous malformation, and stroke.
1331.
MRI
Assessment of Blood Flow Artifacts in a Transgenic Mouse Model of Alzheimer’s
Disease
Firat Kara1, Janneke Ravensbergen1,
Niels Braakman1, Mark A. van Buchem2, Reinhard Schliebs3,
Huub J.M. de Groot1, A Alia1
1Leiden Institute of Chemistry, Leiden
University, Leiden, P.O. Box 9502, Netherlands; 2Department of
Radiology, Leiden University Medical Center, Leiden, Netherlands; 3Paul
Flechsig Institute for Brain Research, University of Leipzig, Leipzig, Germany
It is well known that vascular abnormalities coexist
with other pathological features of Alzheimer’s disease (AD). In this study we
applied high resolution MRA at 9.4T to compare the vascular architecture of
living APPTg2576 transgenic and control mice. Due to high field strength and
use of strong gradients, the large and medium sized arteries were very clearly
imaged. Flow voids were observed at different places such as in superior
cerebral artery, anterior cerebral arteries as well as in pterygopalatine
arteries. Our results suggest that MRA at high magnetic field is useful method
to monitor blood flow defect in mouse models of AD.
1332. In
Vivo Visualization of Brain Tumour Angiogenesis Using 3D δR2-Based
Microscopic MR Angiography (3DδR2-MMRA)
Chien-Yuan Lin1,2, Ming-Huang Lin2,
Sui-Shan Lin2, Yu-Ying Tung2, Jyh-Horng Chen1,
Chen Chang2
1Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan; 2Institute of Biomedical Sciences,
Academia Sinica, Taipei, Taiwan
Tumor-associated microvascular changes offer important
new insight into how tumors grow and respond to treatment. This study was aimed
to simultaneously assess the changes of microvascular morphology and function
on ethylnitrosourea(ENU)-induced rat brain tumor model at different stages
using 3D £GR2-Based Microscopic MR Angiography (3D£GR2-mMRA).
1333. Comparison
of Hypercapnia- And Hyperoxia-Induced Blood Flow Changes in the Retina Detected
by MRI and Laser Speckle Imaging
Haiying Cheng1, Yumei Yan1, Yingxia
Li1, Timothy Q. Duong2
1Yerkes Imaging Center, Emory University,
Atlanta, GA, USA; 2Research Imaging Center, University of Texas
Health Science Center at San Antonio, San Antonio, TX, USA
We recently reported blood-flow (BF) MRI of the rat
retina at 90x90x1500-m;m resolution. We
found that hyperoxia decreased blood flow relative to baseline (air) and
hypercapnia increased blood flow. BF measurements of physiologic stimuli in the
retina are sparse due to a lack of reliable blood flow imaging techniques to
study the retina. Available data indicated that hypercapnic responses in the
retina are controversial with some reporting no changes and others reported
significant changes. To corroborate our MRI findings, we developed and applied
a novel laser speckle imaging to measure BF in the rat retina under identical
experimental conditions.
1334.
4D
Velocity Measurements in an Intracranial Aneurysm Using 3T Phase Contrast
Angiography
Pim van Ooij1, Joppe J. Schneiders1,
Marieke E.S. Sprengers1, Ed van Bavel2, Aart J. Nederveen1,
Charles B.L.M. Majoie1
1Radiology, AMC, Amsterdam, Noord -
Holland, Netherlands; 2Biomedical Engineering & Physics, AMC,
Amsterdam, Noord - Holland, Netherlands
4D velocity measurements using phase contrast angiography can be a useful tool
to diagnose patients with neurovascular diseases. In this study velocity in an
intracranial aneurysm is measured. The treatment of intracranial aneurysms is
invasive and risky, so more knowledge on the factors that contribute to aneurysmal
rupture is needed. In this study it is shown that when the aneurysm is large
enough, clinically relevant velocity profiles can be measured using phase
contrast angiography, which can serve as a validation of computational flow
dynamics, or used as boundary conditions.
1335.
Assessment
of the Neovascularisation of Carotid Atherosclerotic Plaque in Symptomatic
Patients at 3T by DCE-MRI: Feasibility Study
N. Jane Taylor1, Vicky J. Goh1, J
James Stirling1, Ian Simcock1, Matthew Orton2,
David J. Collins2, Ralph Strecker3, Leon Menezes4,
Justin Cross5, Carl W. Kotze6, Syed W. Yusuf6,
Ashley M. Groves4
1Paul Strickland Scanner Centre, Mount
Vernon Hospital, Northwood, Middlesex HA6 2RN, UK; 2CR-UK Clinical
MR Research Group, Royal Marsden Hospital, Sutton, Surrey, SM2 5PT, UK; 3Healthcare
Sector, Siemens AG, 91052 Erlangen, Germany; 4University College
Hospital, London, UK; 5Addenbrookes Hospital, Cambridge, UK; 6Brighton
and Sussex University Hospitals, Brighton, UK
The purpose was to prospectively assess the
neovascularisation of symptomatic carotid plaques using DCE-MRI at 3T. 9
patients (8 male; mean 71 years) presenting with transient ischaemic attack,
with significant stenoses on Doppler ultrasound and awaiting carotid endarterectomy
underwent 3T DCE-MRI following injection of 0.1mmol/kg Gd-DTPA (dynamic 3D VIBE
sequence, 5.3s interval, 70 acquisitions). Semiquantitative (IAUGC60;
peak gadolinium concentration (mmol); time to peak (s), maximal gradient) and
quantitative (Ktrans, ve, kep, vp)
parameters were obtained following motion correction and image registration.
Mean Ktrans, ve, kep were 0.74, 0.28, 2.33
respectively. 3T DCE-MRI plaque assessment is feasible.
1336. The
Role of 4D MRA with Keyhole and View-Sharing at 3.0T in the Diagnostic Work-Up
of Cerebral Arteriovenous Malformations: A Prospective Intra-Individual Study
Dariusch Reza Hadizadeh1, Guido M. Kukuk1,
Jürgen Gieseke1,2, Gabriele Beck3, Liesbeth Geerts3,
Julia Bergener1, Azize Boström4, Johannes Schramm4,
Horst Urbach1, Hans Heinz Schild1, Winfried Albert
Willinek1
1Radiology, University of Bonn, Bonn,
NRW, Germany; 2Philips Heathcare, Hamburg, Germany; 3Philips
Healthcare, Best, Netherlands; 4Neurosurgery, University of Bonn,
Bonn, NRW, Germany
The combination of keyhole, CENTRA, parallel imaging,
partial Fourier, and view-sharing allows for high spatial and sub-second
temporal resolution 4D MRA with whole head coverage. 4DMRA was evaluated in the
entire diagnostic work-up of patients with cerebral arteriovenous malformations
(cAVM) including pre- and post-operative assessment and was compared to digital
subtraction angiography (DSA) in 38 consecutive patients. Highly accelerated
4DMRA matched with DSA in all patients regarding pre-operative Spetzler-Martin
Classification and post-operative residual filling and may be considered a
non-invasive alternative in the diagnostic work-up of patients with cAVM.
1337.
Quantitative
MR Perfusion in Patients with Intracranial Arteriovenous Malformations:
Utilizing Spin-Echo Sequences to Characterize Vascular Steal
Christopher Sean Eddleman1, Jessy J. Mouannes2,
Anindya Sen3, Guilherme Dabus3, Christopher C. Getch,
Bernard R. Bendok3, Hunt H. Batjer, Timothy J. Carroll3
1Neurological Surgery, Northwestern
University, Chicago, IL, USA; 2Biomedical Engineering, Northwestern
University; 3Radiology, Northwestern University
Intracranial arteriovenous malformations (iAVMs) are
high-flow AV shunts that can affect perfusion of surrounding normal brain.
Although controversial, vascular steal is thought to contribute to the risk of
normal perfusion breakthrough. Knowledge of specific areas of vascular steal
could alter endovascular and surgical strategies of treatment. Spin-echo perfusion
acquisitions allow detailed mapping of areas of vascular steal in patients with
iAVMs.
1338. Evaluation
of Blood Flow from STA-MCA Bypass by MRA with Off-Sagittal Saturation Pulse
Toshiaki Akashi1, Toshiaki Taoka1,
Hiroyuki Nakagawa1, Toshiteru Miyasaka1, Masahiko
Sakamoto1, Satoru Kitano1, Satoru Iwasaki2,
Kimihiko Kichikawa1
1Radiology, Nara Medical University,
Kashihara, Nara, Japan; 2Radiology, Higashiosaka City General
Hospital, Higashiosaka, Osaka, Japan
We evaluated the feasibility of MRA with off-sagittal
saturation pulse covering STA and bypass point (sMRA) for discrimination
between antegrade flow from ICA and bypassed flow from STA. Conventional MRA
(cMRA) and sMRA were obtained. sMRA demonstrates only antegrade flow because
off-sagittal saturation pulse suppress signal of bypassed flow while cMRA shows
both of antegrade and bypassed flow. Subtracting source images of sMRA from
those of cMRA was able to give source images and MIP images demonstrating
bypassed flow with suppressed antegrade flow in most cases. sMRA is feasible
technique for the post-operative assessment of STA-MCA bypass function.
1339. Evaluation
of Perforating Arteries Originating from the Posterior Communicating Artery at
7 Tesla MRI
Mandy M. Conijn1, Jeroen Hendrikse, Jaco J.
Zwanenburg2, Taro Takahara, Mirjam I. Geerlings3, Willem
P. Mali, Peter R. Luijten2
1Radiology, University Medical Center
Utrecht, Utrecht, Netherlands; 2Image Sciences Institute, University
Medical Center Utrecht; 3Julius Center for Health Sciences and
Primary Care, University Medical Center Utrecht
This is the first study to date that utilized the
increased sensitivity of 7 Tesla MRI to study the anatomical variability of
small, normally non-detectable, arteries in the brain. With angiography at 7T
we could clearly visualize the deep perforating arteries branching from the
posterior communicating artery (PCoA) without use of contrast agents. We found
a high prevalence of visible perforating arteries branching from the PCoA, and
an association between the diameter of the PCoA and the presence of a
perforator. Furthermore, we found a significant correlation between the left
sided and right sided anatomy of the posterior circulation.
1340.
Assessing
Cerebrospinal Fluid Flow in the Brain Using 3D Phase Contrast Velocity Encoded
MRI
Henrik Odéen1, Michael Markl2,
Bruce S. Spottiswoode3
1Lund Institure of Technology, Lund
University, Lund, Sweden; 2Diagnostic Radiology, Medical Physics,
Albert-Ludwigs Universität, Freiburg, Germany; 3Cape Universities
Brain Imaging Centre, Cape Town, South Africa
This work describes the application of 3D velocity
encoded MRI to assess CSF flow patency in the brain. Five normal volunteers
were scanned using a time-resolved 3D gradient echo phase contrast sequence
with 3-directional velocity encoding. Post processing involved spatiotemporal
phase unwrapping, fitted field inhomogeneity surface subtraction, and combining
data from the three velocity encoding directions into a 3D integrated flow
volume. Communicating flow between ventricles and passageways was then
identified using nearest-neighbour connectivity. Flow connectivity within the
brain was demonstrated in all five volunteers. This technique provides an
automated and promising means of assessing CSF flow patency.
1341.
Is
Flow Rate or Stroke Volume Better for the Assessment of CSF Flow in NPH?
Mario Forjaz Secca1,2
1Cefitec, Physics Department,
Universidade Nova de Lisboa, Monte de Caparica, Portugal; 2Ressonancia
Magnetica - Caselas, Lisboa, Portugal
Two different parameters have been used in the
assessment of abnormality in the flow of CSF at the Aqueduct for NPH (normal
pressure hydrocephalus): Stroke Volume and Flow rate, which can lead to
contradictory results. Since both can be calculated easily from the same data,
we evaluated which would be the best parameter to take into consideration. By
analyzing the data from 580 patients and studying of the variation of both values
with heart rate on volunteers we found that FR, leading to less abnormal cases
and being less sensitive to heart rate, is a better parameter to evaluate NPH
1342.
MR
Arterial Spin Labeling and Spectroscopy in Patients with Symptomatic Internal
Carotid Artery Occlusion
Jie Lu1, Kuncheng Li, Miao zhang
1Xuanwu Hospital, Capital Medical University, Beijing, China
ASL is a non-invasive method to quantitatively measure
perfusion without contrast material. MRS can non-invasively identify cerebral
abnormal metabolism. Patients with symptomatic occlusion of the internal
carotid artery (ICA) with compromised cerebral blood flow (CBF) and decrease
N-acetyl aspartate (NAA) are at risk for future ischemic infarcts in the brain.
In this study, we characterized CBF and the concentrations of choline,
creatine, and NAA changes in cerebral white matter in patients with symptomatic
ICA occlusion. Our result suggested ASL and MRS may provide a convenient,
inexpensive, noninvasive method for identifying ICA occlusion patients at risk
for future stroke. |
|
Novel Experimental & Therapeutic Strategies in
Stroke |
Exhibit Hall 2-3
Wednesday 13:30-15:30 |
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1343. Feasibility
of Imaging Mesenchymal Stem Cells in Vitro Using Standard MRI Sequences
Emidio Tarulli1, Voytek Gretka2,
Amy Hoyles3, Cindi Morshead3, Greg J. Stanisz2
1Department of Medical Biophysics,
University of Toronto, Toronto , ON, Canada; 2Department of Medical
Biophysics, University of Toronto, Toronto, ON, Canada; 3Department
of Surgery, University of Toronto, Toronto, ON, Canada
While stem cell therapies of stroke have shown success
in structural and functional recovery of lost tissue, the ability to track cell
migration and distribution in a non-invasive manner remains a work in progress.
This study demonstrates the ability to track single rat mesenchymal stromal
cells (rMSCs) labeled with micron-sized superparamagnetic iron-oxide (MPIO)
particles (Bangs Labs, MC05F) with standard MRI sequences in vitro.
1344. Limitations
of Iron-Based Stem Cell Tracking in MRI-Monitoring of Stem Cell Therapies in
Vivo
Emidio Tarulli1, Voytek Gretka1,
Amy Hoyles2, Cindi Morshead2, Greg J. Stanisz1
1Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada; 2Department of Surgery, University of Toronto, Toronto, ON, Canada
This investigation makes use of
1345. Novel
Combination Therapy of Recombinant Annexin 2 and Low Dose Recombinant Tissue
Plasminogen Activator in Embolic Rat Stroke Model: A Magnetic Resonance Imaging
Study
Yoji Tanaka1, Tsukasa Nagaoka1,
Govind Nair1, Qiang Shen1,2, Xiaodong Zhang1,
Timothy Q. Duong1,2
1Yerkes Imaging Center, Yerkes National
Primate Research Center, Emory University, Atlanta, GA, USA; 2Research
Imaging Center, University of Texas Health Science Center at San Antonio, San
Antonio, TX, USA
In the treatment of acute phase ischemic stroke, tPA has
high risk of hemorrhage which is usually fatal, and the treatment time window
is very narrow. The aim of this study is to examine a novel combination therapy
of recombinant annexin 2 and low dose rtPA for acute ischemic stroke with
employing MRI. We conclude that the combination therapy has a possibility to
reduce the harmful side effect of rtPA without reducing its benefits as
treatment.
1346. Effect
of NBO Treatment on Lesion Volume at Early and Late Reperfusion Time Points
After Transient Focal Cerebral Ischemia
J Ramu1, W Liu1, KJ Liu1,
R Sood1
1Neurology, University of New Mexico, Albuquerque, NM, USA
The goal of this study was to compare the effect of NBO
treatment on the lesion volume between early and late reperfusion time points
in a rat model of middle cerebral artery occlusion (MCAO).
1347.
Aging
and Hypertension Increase the Susceptibility of Brain Tissue to Ischemic
Injury: Animal Brain MR Imaging Study
MeiYu Yeh1, Tsong-Hai Lee2, Ho-Ling
Liu3,4
1Department of Medical Imaging and
Radiological Sciences, Chang Gung University,, Kwei-Shan , Tao-Yuan, Taiwan; 2Stroke
Section, Department of Neurology and Stroke Center,, Chang Gung Memorial
Hospital, Kwei-Shan , Tao-Yuan, Taiwan; 3Department of Medical
Imaging and Radiological Sciences, Chang Gung University, Kwei-Shan, Tao-Yuan,
Taiwan; 4MRI Center, Chang Gung Memorial Hospital, Kwei-Shan ,
Taoyuan, Taiwan
Age is the most important non-modifiable risk factor for
stroke and it is estimated that the stroke rate is doubled each 10 years after
age 55. Diffusion- and perfusion-weighted magnetic resonance imaging (DWI and
PWI, respectively) can provide a simple and feasible method to investigate the
ischemic brain tissue at risk for infarction in the acute stage of stroke. Our
study suggests that the reason for aging and hypertension to be the most
significant risk factors for stroke is possible that they may increase the
susceptibility of normal brain tissue to ischemic injury by influencing the
cerebral diffusion and perfusion.
1348.
Temporal
MRI Profile of Hermorrhagic Transformation After Embolic Stroke in
Spontaneously Hypertensive Rats
Ivo Adriaan Carol Willem Tiebosch1, Annette
van der Toorn1, René Zwartbol1, Mark Jacobus Rosalie
Joseph Bouts1, Ona Wu2, Rick Michiel Dijkhuizen1
1Image Sciences Institute, University
Medical Center Utrecht, Utrecht, Netherlands; 2Athinoula A. Martinos
center for biomedical imaging, Massachusetts General Hospital, Charlestown, MA,
USA
Thrombolytic treatment after acute ischemic stroke
increases risk of hemorrhagic transformation (HT), however, the pathological
basis thereof is largely unresolved. We applied multiparametric MRI to assess
the temporal profile of pathophysiological processes associated with HT after
embolic stroke in spontaneously hypertensive rats. Selective regions within the
ischemic lesion displayed HT after 7 days. These regions were characterized by
significantly reduced perfusion, increased blood-brain barrier leakage and
prolonged T2 within 24 h after stroke. This indicates that multiparametric MRI
may provide a powerful tool to assess risk of HT after stroke in treated as
well as non-treated subjects.
1349. Multiparametric
MRI Correlation with Tissue Outcome in Early Phase of Acute Ischemic Stroke in
Rats
Kimmo Jokivarsi1, Yrjö Hiltunen2,
Risto Kauppinen3, Olli Gröhn1
1Department of Neurobiology, University
of Kuopio, Kuopio, Finland; 2Department of Environmental Science,
University of Kuopio, Kuopio, Finland; 3Biomedical NMR Research
Center, Dartmouth Medical School, Hanover, NH, USA
We investigated the prediction power of different
combinations of MRI parameters in rat middle cerebral artery occlusion model.
We show that by using three to four MRI contrasts (including diffusion, T2, T1r and perfusion) in combination, correlation
ranging from 0.64 to 0.80 with the histological outcome is achieved. The
correlation depends on brain region and age of lesion. Our data suggest that
MRI may predict ischemic lesion expansion and fate of tissue at risk of stroke
in a clinically useful manner.
1350. Late
Stimulation of the Sphenopalatine Ganglion in Ischemic Rats Improves NAA Levels
and DWI Characteristics
Amnon Bar-Shir1, Noam Shemesh1,
Revital Nossin-Manor2, Yoram Cohen1
1School of Chemistry, Tel Aviv University, Tel Aviv, Israel; 2Diagnostic Imaging, The Hospital for Sick
Children, Toronto, ON, Canada
The present study longitudinally examines the effect of
SPG-stimulation of ischemic rats on NAA levels, DWI characteristics and
behavioral tests. It was found that SPG-stimulation treatment of rats after 2h
of t-MCAO, started 18±2h after the induction of stroke, improves NAA levels in
the ischemic hemisphere of the treated rats and also prevented deterioration of
DI values computed from DWI data, 28 days after t-MCAO. These results
were corroborated by behavioral examinations. The fact that treatment was
started 18±2h after the t-MCAO shows that electrical SPG-stimulation can
potentially extend the therapeutic window for the treatment of ischemic stroke.
1351. Localized
1H MRS of Mouse Brain in Vivo Reveals Metabolic Markers Predicting
the Development of Ischemic Damage
Hongxia Lei1,2, Carole Berthet3,
Lorenz Hirt3, Rolf Gruetter1,4
1EPFL, Lausanne, Vaud, Switzerland; 2UNIL,
Lausanne, Vaud, Switzerland; 3CHUV, Lausanne, Vaud, Switzerland; 4UNIGE,
Geneva, Switzerland
1H MRS of ischemic mouse brains is feasible
at high magnetic field and detects substantial metabolic changes in the
neurochemical profile. The aim of the present study was to investigate the
effect of different degrees of focal ischemic insults on the neurochemical
profiles at an early time-point and to identify markers for reduced cerebral
perfusion and for irreversible ischemic damage. The results show that the
glutamine increase indicates ischemia and probably reflects ischemia induced
glutamate release, while the neuronal markers N-acetylaspartate and glutamate
are more likely to indicate an irreversible cerebral lesion.
1352.
Molecular
MRI of Thrombus in a Rat Ischemic Stroke Model
Ritika Uppal1, Ilknur Ay1,
Guangping Dai1, Young Ro Kim1, Gregory Sorensen1,
Peter Caravan1
1Radiology, Massachusetts General Hospital, Charlestown, MA, USA
Ischemic stroke is a leading cause of morbidity and
mortality. The identification of the culprit thrombotic lesion, micro-emboli
and the source of the embolus are all critical to patient management. We used a
fibrin-targeted Gd based contrast agent (EP-2104R) and MRI to characterize a
rat thrombo-embolic stroke model. EP-2104R readily identified thrombi in all
animals with high contrast to noise, while animals administered GdDTPA showed
no thrombus enhancement. These findings correlated with ex vivo tissue
measurements of Gd.
1353.
Application
of a Modified Quantitative BOLD Approach to Monitor Local Blood Oxygen
Saturation in Two Glioma Models and a Stroke Model in Rat
Thomas Christen1,2, Benjamin Lemasson1,3,
Nicolas Pannetier1,2, Olivier Detante1,2, Régine Farion1,2,
Emmanuelle Grillon1,2, Christoph Segebarth1,2, Chantal
Rémy1,2, Emmanuel L. Barbier1,2
1Inserm, U836, Grenoble, F-38043, France; 2Université Joseph Fourier, Grenoble Institut des Neurosciences, UMR-S836, Grenoble, France; 3Oncodesign Biotechnology, Dijon, France
Recently, an in vivo MR approach was introduced to
obtain local blood oxygen saturation (lSO2) maps. This study evaluates a
modified version of this approach in two rat models: stroke and tumor. Values
of lSO2 in the contralateral striatum of rats bearing a brain lesion or in
healthy rats are consistent with the literature. The small standard deviation
suggests that the proposed lSO2 measurement approach is reproducible.
Differences in lSO2 were observed between the two glioma models (C6 and U87-MG)
and an increase lSO2 two days after focal brain ischemia, in agreement with a
luxury perfusion.
1354.
Combined
in Vivo MR and Optical Imaging of Stroke Induced Neurogenesis in the Mouse
Brain
Tracy Deanne Farr1, Dirk Wiedermann1,
Sébastien Couillard-Després2, Luwig Aigner2, Mathias
Hoehn1
1In-Vivo NMR Laboratory, Max-Planck
Institute for Neurological Research, Cologne, Germany; 2Department
of Neurology, University of Regensburg, Germany
The formation of new neurons in the adult brain has
generated much interest, and could have an impact on recovery from
neurodegenerative disease. Neurogenesis is observed using invasive techniques,
but the advent of transgenic animals with imaging reporters for cellular or molecular
events is a promising alternative. We used mice with a bioluminescent reporter
(luciferase) that is produced in response to upregulation of the doublecortin
promoter. We are working to establish an in vivo multi-modal optical imaging
and MRI protocol to monitor the extent, location, and timecourse of
neurogenesis in these mice. Preliminary results indicate this response changes
following ischemia.
1355.
High
Resolution Diffusion Tensor Imaging of Post-Stroke White Matter Integrity in Ex
Vivo Rat Brain
Maurits P.A. van Meer1,2, Willem M. Otte1,2,
Kajo van der Marel1, Annette van der Toorn1, J. W.
Berkelbach van der Sprenkel2, Rick M. Dijkhuizen1
1Image Sciences Institute, University
Medical Center Utrecht, Utrecht, Netherlands; 2Rudolf Magnus
Institute of Neuroscience, University Medical Center Utrecht, Utrecht,
Netherlands
DTI may inform on alterations in brain connectivity
associated with neuroplasticity. Unbiased whole brain assessment with
tract-based spatial statistics analysis (TBSS) was used to determine changes in
fractional anisotropy (FA) on high resolution maps of ex vivo post-stroke rat
brains. A significant reduction in FA in ipsilesional white matter was detected
in 10-weeks post-stroke brains. Ipsi- and contralesional medial corpus callosum
showed a significant elevation of FA compared to age-matched controls. These
results show that high resolution ex vivo DTI in combination with TBSS analysis
allows detailed assessment of degenerative and reorganizational changes in
white matter integrity after stroke.
|
|
Biophysical Mechanisms |
Exhibit Hall 2-3
Monday 14:00-16:00 |
|
1356.
The
Diffusion Tensor Reveals Gray Matter Architecture
Sune Norhoj Jespersen1, Lindsey A. Leigland2,
Anda Cornea3, Christopher David Kroenke2,4
1Center of Functionally Integrative
Neuroscience, Aarhus University, Aarhus, Denmark; 2Department of
Behavioral Neuroscience, Oregon Health and Science University, Oregon, USA; 3Oregon
National Primate Research Center, Oregon Health and Science University, Oregon,
USA; 4Advanced Imaging Research Center, Oregon Health and Science
University, OR, USA
1357. The
Effect of Axonal “Beading” on Water Diffusion Properties: a Monte Carlo
Simulation of Axonal Degeneration and Its Effects on DTI Contrasts
Jonathan A.D. Farrell1,2, Bennett A. Landman3,
Jiangyang Zhang2, Seth Smith1,2, Daniel S. Reich4,5,
Peter A. Calabresi5, Peter C. van Zijl1,2
1F.M. Kirby Research Center for
Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA; 2Neuroscience
Section, Division of MR Research, Dept. of Radiology, Johns Hopkins University
School of Medicine, Baltimore, MD, USA; 3Dept. of Biomedical
Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA; 4Division
of Neuroradiology, Dept. of Radiology, Johns Hopkins University School of
Mediciine, Baltimore, MD, USA; 5Dept. of Neurology, Johns Hopkins
University School of Medicine, Baltimore, MD, USA
Axonal degeneration, due to injury or disease, can cause
multiple localized dilations (“beading”) of the axonal membrane. The goal of
this study was to determine the effect of these morphological changes on
diffusion properties measured with DWI. Healthy axons are modeled as cylinders,
and degenerating axons are modeled as the union of a cylinder and a sphere of
varying radii. Using a Monte Carlo framework, we show that axonal “beading” can
cause decreased, non-Gaussian parallel diffusion, and increased perpendicular
diffusion. This may aid the interpretation of DWI experiments and advance the
development of DTI contrasts specific for axonal injury.
1358. Understanding
the Recuded ADC in Stroke Lesions Using Repeated Measurements with Different
Diffusion Times
Markus Nilsson1, Jimmy Lätt2,
Danielle van Westen2, Stig Holtås2,3, Ronnie Wirestam1,
Freddy Ståhlberg1,3, Sara Brockstedt2
1Department of Medical Radiation Physics,
Lund University, Lund, Sweden; 2MR Department, Center for Medical
Imaging and Physiology, Lund University Hospital, Lund, Sweden; 3Department
of Diagnostic Radiology, Lund University, Lund, Sweden
The mechanism behind the reduction of the apparent
diffusion coefficient (ADC) in ischaemic stroke is as yet unclear. Effects of
water exchange have recently been observed in sub-acute stroke lesions, based
on measurements with high b-values and a varied diffusion time. Here we
repeated such measurements in two patients, three and ten days after stroke
onset. The presence of water exchange was verified. The intracellular signal
fraction decreased as the time from the stroke-onset increased and we found
indications of different relaxation times in the intra- and extracellular space
in the stroke lesions.
1359.
Evaluation
of the Effect of Exchange on the Diffusion Weighted MR-Signal in Brain White
Matter
Els Fieremans1,2, Yves De Deene2,3,
Jens H. Jensen1, Joseph A. Helpern1
1Department of Radiology, CBI, New York
University School of Medicine, New York, NY, USA; 2Department of
Electronics and Information Systems, MEDISIP, Ghent University-IBBT-IBiTech,
Ghent, Belgium; 3Department of Radiotherapy and Nuclear Medicine,
QMRI, Ghent University, Ghent, Belgium
The origin of the anisotropic diffusion weighted (DW)
MR-signal observed in brain white matter (WM) is still not completely
understood. In this study, Monte Carlo simulations of diffusion are presented
in a geometry imitating the white matter. The effect of exchange between the
intracellular and extracellular compartment on the DW MR signal has been
evaluated. The results show that the diffusion kurtosis is a good probe for the
presence of membranes and is sensitive to changes in permeability. Fitting the
kurtosis could reveal new insights in the physiology of cells during pathological
states.
1360.
Renormalization
Group Method: Enhancement of Basser-Sen Model of the Brain White Matter
Oleg P. Posnansky1, N. Jon Shah1,2
1Institute of Neuroscience and Biophysics
3 - Medicine, Research Centre Juelich, Juelich, Germany; 2Faculty of
Medicine, Department of Neurology, RWTH Aachen University, JARA, Aachen,
Germany
We have developed a renormalization group method in
order to explore the effects of a large range of geometrical and physical
microparameters on the effective apparent diffusion coefficient. The main
element of this method comprises the renormalization of structural parameters
from the micro to the millimeter scale of the random multi-component white
matter of the brain. Our approach enhances the Basser-Sen model by taking the
influence of disorder into the consideration and it allows quantitative
investigation of the sensitivity of the apparent diffusion coefficient to the
variations of the dominant set of micro-parameters.
1361. A
Study on the Validity of the Tortuosity Approximation for Extracellular
Diffusion Using Monte Carlo Simulations
Hubert Martinus Fonteijn1, Matt G. Hall1,
Daniel C. Alexander1
1Department of Computer Science, Centre
for Medical Imaging and Computing, London, UK
Models of extracellular diffusion in biological tissue
rely on two assumptions: 1. diffusion is approximately Gaussian for long
diffusion times and 2. The relationship between the apparent diffusion
coefficient in hindered directions and the free diffusion coefficient is only
dependent on the intracellular volume fraction and not on the specific tissue
geometry. We have tested these assumptions using Monte Carlo simulations for
the diffusion weighted signal using cylinders with gamma-distributed radii. We
have found a mono-exponentially decaying signal for only a limited range of
b-values. Moreover, the ADC is to some extent related to the distribution of
cylinder radii.
1362. Trace
Weighting in Double Wave Vector Diffusion Experiments in Vivo
Martin A. Koch1,2, Jürgen Finsterbusch1,2
1Dept. of Systems Neuroscience,
University Medical Center Hamburg-Eppendorf, Hamburg, Germany; 2Neuroimage
Nord, Hamburg - Kiel - Lübeck, Germany
Double wave vector diffusion weighting may represent a
new method for assessing microscopic tissue structure. The difference between
parallel and anti-parallel orientations of the gradients in two successive
diffusion weighting preparations might be used to estimate the mean size of
tissue pores. Calculations for short gradient pulses predict for samples with a
non-uniform distribution of pore orientations that a rotation-invariant size
estimate can be derived from the sum of measurements along three perpendicular
orientations. It is investigated whether this holds true for in vivo
experiments on brain tissue using a whole body MR system with finite gradient
pulse durations.
1363.
Assessment
of Tissue Properties and T2 Relaxation on ADC Measurements by Numerical Simulation
of Water Diffusion
Kevin D. Harkins1, Jean-Phillipe Galons2,
Timothy W. Secomb3, Theodore P. Trouard1,2
1Biomedical Engineering, University of
Arizona, Tucson, AZ, USA; 2Radiology, University of Arizona, Tucson,
AZ, USA; 3Physiology, University of Arizona, Tucson, AZ, USA
The biophysical mechanisms which affect the apparent
diffusion coefficient (ADC) have been debated since the initial observation of
a drop in ADC following ischemic stroke. A computational model of water
diffusion is used to assess the role of intracellular volume fraction (IVF),
intracellular diffusion coefficient (Dint), membrane permeability and T2
relaxation on the calculated ADC. Simulations indicate that a 30-50% drop in
ADC can be achieved by swelling cells from 80% to 90% IVF when the
intracellular T2 was allowed to be lower than extracellular T2. Furthermore, at
diffusion times greater than 20 ms, the ADC was virtually independent of Dint.
1364.
Validation
of Models for the Diffusion Weighted MR Signal in Brain White Matter
Els Fieremans1,2, Yves De Deene2,3,
Jens H. Jensen1, Joseph A. Helpern1
1Department of Radiology, CBI, New York
University School of Medicine, New York, NY, USA; 2Department of
Electronics and Information Systems, MEDISIP, Ghent University-IBBT-IBiTech,
Ghent, Belgium; 3Department of Radiotherapy and Nuclear Medicine,
QMRI, Ghent University, Ghent, Belgium
The diffusion weighted MR-signal attenuation in brain
white matter is not mono-exponential. A bi-exponential model has been proposed
since this fits the data well. We have modeled the diffusion weighted MR-signal
by Monte Carlo simulations in a fiber geometry similar to brain white matter.
Although a bi-exponential model fitted the data very well, the fitted diffusion
coefficients and fractions did not converge to the simulated values in the
intra- and extracellular space. However, fitting the cumulant expansion form
terminated after the Nth order term to the data results in accurate fits for
the diffusion coefficient and kurtosis.
1365. Evidence
for a Vascular Contribution to the Biexponential Signal Decay as a Function of
the B-Value in DWI: A Verification of the IVIM-Model
Andreas Lemke1, Lothar Rudi Schad1,
Bram Stieltjes2, Frederik Laun3
1Chair in Computer Assisted Clinical
Medicine, University of Heidelberg, Faculty of Medicine, Mannheim, Germany; 2Department
of Radiology, German Cancer Research Center, Heidelberg, Germany; 3Department
of Medical Physics in Radiology, German Cancer Research Center, Heidelberg,
Germany
DWI of the abdomen was performed using a global
suppression of the blood signal to investigate the vascular contribution to the
measured ADC and to validate the IVIM-model. The perfusion fraction f and the
diffusion coefficient D were extracted from the measured DW-data of five
healthy volunteers with and without blood suppression using a biexponential
fit. The perfusion fraction f in the suppressed pancreatic and liver tissue
decreased significantly (p=0.008), whereas the diffusion coefficient D did not
change with suppression (p>0.5). These results verify a vascular
contribution to the DWI-measurement at low b-values and validate the
IVIM-theory.
1366. q-Space
MR Propagator in Partially-Restricted, Axially-Symmetric and Isotropic
Environments
Evren Ozarslan1, Cheng Guan Koay, Peter J.
Basser
1STBB / LIMB / NICHD, National Institutes
of Health, Bethesda, MD, USA
Diffusion may lead to non-symmetric propagators, which
can be mapped from the complex-valued MRI signal. Because the true diffusion
propagator obeys the reciprocity property, both forward and backward Fourier
transforms can be employed, leading to propagators with different meanings.
Depending on the geometry, Fourier transform in one direction may provide a
more intuitive representation of the geometry than the other. In
axially-symmetric and isotropic environments, having one-dimensional data is
sufficient to reconstruct higher-dimensional propagators. In these
environments, other transforms can be employed, which may make information,
otherwise obscured by the one-dimensional Fourier transform, visible.
1367.
Analysis
of Water Diffusion in White Matter Using a Hydration Layer Model
Elena Olariu1, Ian Cameron1,2
1Physics, Carleton University, Ottawa, Ontario, Canada; 2Diagnostic Imaging , Otawa General Hospital
Diffusion measurements have been made with MRI for many
years but an explanation for the observed behavior, in terms of the underlying
mechanisms is still illusive. Diffusion decays have frequently been interpreted
in terms of a two compartment model with the fast and slow diffusion
coefficients associated with extra- and intracellular water, respectively.
Unfortunately, the observed signal fractions are not consistent with the true
ratio of intra- to extracellular water. Recently, LeBihan has suggested that
the two observed components may be associated with free water and hydration
water rather than with intra- and extracellular water. It is reasonable to
expect that intra- and extracellular hydration water will diffuse more slowly
than the rest of the tissue water. The purpose of the research reported here
was to investigate this suggestion to see if the predictions of this model are
consistent with measured diffusion decay data.
1368.
Treatment
Response of Non-Monoexponential Diffusion in a Glioma Rodent Model
Benjamin Hoff1, Denis Le Bihan2,
Alnawaz Rehemtulla3, Thomas Chenevert1, Brian Ross1,
Craig Galbán1
1Radiology, University of Michigan, Ann
Arbor, MI, USA; 2NeuroSpin, CEA, Saclay, France; 3Radiation
Oncology, University of Michigan, Ann Arbor, MI
Diffusion MRI at low b-values (~1000 s/mm2) has shown
promise as an early surrogate biomarker of treatment response in glioma
patients. Recent studies have shown that at higher b-values (>3000 s/mm2)
signal attenuation by diffusion deviates from monoexponential behavior in
biological tissue. The aim of this study was to test the response of the
apparent diffusion coefficient (ADC) calculated from various
non-monoexponential models against a conventional two-point low b-value method
following chemotherapy in a rodent brain tumor model.
1369. Dependence
of Fractional Order Diffusion Model Parameters on Diffusion Time
Xiaohong Joe Zhou1,2, Qing Gao1,3,
Girish Srinivasan1,3, Richard L. Magin3
1Center for MR Research, Univ. of
Illinois Medical Center, Chicago, IL, USA; 2Departments of
Radiology, Neurosurgery, and Bioengineering, Univ. of Illinois Medical Center,
Chicago, IL, USA; 3Dept. of Bioengineering, University of Illinois -
Chicago, Chicago, IL, USA
In fractional order diffusion model, anomalous diffusion
is described by two new parameters: fractional order spatial derivative â and a
spatial variable µ. Although a correlation has been suggested between these
parameters and the degree of tissue heterogeneity, the biophysical basis of
such correlation has not been established. In this study, we have investigated
the effects of diffusion time on these parameters and observed a strong
dependence of µ on diffusion time. This result suggests that µ may reflect the
degree of diffusion restriction and help establish the interrelation with
tissue microstructures.
1370.
Diffusion
Diffraction Patterns in Different Cells
Davide Imperati1,2, M. Cross3,
Klaus Kruttwig1, P. Galvosas4, Konstantin Ulrich4,
Andrè Pampel5, Jörg Kärger4, Mathias Hoehn1,
Harald E. Möller5, Marc Tittgemeyer1
1Max-Plank Institute for Neurological
Research, Cologne, Germany; 2Department of Computer Science,
University of Milan, Milan, Italy; 3Interdisciplinary Center for
Medical Research, Leipzig, Germany; 4Department of Physics,
University of Leipzig, Leipzig, Germany; 5Max-Plank Institute for
Cognition and Brain Science, Leipzig, Germany
Diffusion imaging enables microscopic assessment of
tissue microstructures by measuring the displacement of water protons. |
|
Diffusion: Pulse Sequences & Sampling |
Exhibit Hall 2-3
Tuesday 13:30-15:30 |
|
1371.
Preliminary
Experiences with Implementing High Resolution CSF-Suppressed Optic Nerve DTI at
3.0T with and Without Parallel Imaging
Rebecca Sara Samson1, Mark R. Symms2,
David L. Thomas3, Madhan Kolappan1, David H. Miller1,
Claudia A M Wheeler-Kingshott1
1Department of Neuroinflammation, UCL
Institute of Neurology, London, UK; 2Department of Clinical &
Experimental Epilepsy, UCL Institute of Neurology, London, UK; 3Medical
Physics & Bioengineering, UCL, London, UK
There are several technical challenges associated with
studying the optic nerve (ON) using DTI, in particular its small size, motion,
contamination of signal by fat and Cerebrospinal Fluid (CSF), and
susceptibility effects pose significant problems. We present our preliminary
experiences with the implementation of ON DTI on two different manufacturer’s
3.0T scanners using different data acquisition methods both with and without
the use of parallel imaging.
1372. Improvement
of DTI Measurement Using the Composite Gradient Systems on a Clinical 3T MRI
System: DTI Study of Ex Vivo Dog's Heart
Seong-Eun Kim1, K Craig Goodrich1,
Sung M. Moon1, J. Rock Hadley1, Dennis L. Parker1
1UCAIR Department of Radiology, University of Utah, Salt Lake City, UT, USA
Our composite system has the distinct advantage that
both of standard and insert gradient systems can be operated simultaneously
and/or independently. With simultaneous acquisition, the gradient strength
available from either system alone can be increased. Ihe composite gradient
system can acquire better DTI measurements with less artifact in human studies
than can be obtained with insert or body gradient coils alone. It can also
provide high resolution fMRI datasets with better imaging quality compared to
data obtained using the standard gradient system.
1373. Accelerating
Diffusion Tensor Imaging Using Multi-Reference Image Constrained Reconstruction
Lindsey Jean Healy1, Osama Abdullah1,
Edward W. Hsu1
1Bioengineering, University of Utah, Salt Lake City, UT, USA
MR diffusion tensor imaging (DTI) has suffered from long
scan times, low SNR and resolution. This study examines the accuracy and
efficiency of selected schemes to accelerate DTI via reduced encoding and
multi-reference constrained reconstruction. Results indicate that
generalized-series constrained reconstruction combined with
direction-dependent, model-estimated images as references can be used to
further improve DTI acquisition efficiency than that achieved previously using
a single reference image. The findings support the validity of applying reduced
sampling and constrained reconstruction to accelerate DTI, and are particularly
promising for 3D DTI, high angular-resolution diffusion imaging, or other
experiments that require extremely large datasets.
1374.
High
b-Value Acquisition Using CURVE-Ball DTI
Sharon Peled1, Stephen Whalen2,
Alexandra Golby2
1Radiology, Brigham and Women's Hospital,
Boston, MA, USA; 2Neurosurgery, Brigham and Women's Hospital
A new strategy for obtaining high SNR high b-value DTI
information in brain is presented. The basis for the approach is the
independence of DTI eigenvector directions from the b-value at which the
acquisition takes place. This allows determination of the eigenvectors from relatively
low b-value DTI. Thus with the help of an appropriate diffusion model,
diffusion curves for each eigenvector can be generated using only sparse
sampling of high b-value data. The method will enable better diffusion-based
tissue characterization in clinical and research settings where scan time is a
limiting factor.
1375. Apparent
Diffusion Coefficient Measurement of in Vivo Atherosclerotic Plaque Obtained
from Six Human Subjects Using 2D Ss IMIV DWEPI Technique on 3T System
Seong-Eun Kim1, Eun-Kee Jeong1, J.
Rock Hadley1, John A. Roberts1, Gernald A. Trieman2,3,
Laura C. Bell1, Dennis L. Parker1
1UCAIR Department of Radiology,
University of Utah, Salt Lake City, UT, USA; 2Surgical Service, VA
Salt Lake City Health Care System; 3Department of Surgery School of
Medicine, University of Utah
In this work we present the in vivo ADC measurement of
in vivo atherosclerotic plaque obtained from six human subjects. The results
obtained indicate that ADC map may be of substantial value as a new contrast
for carotid plaque imaging. Although our ADC values obtained using the 2D ss
IMIV DWEPI technique fall within the range of previously reported ADC value in
an ex-vivo study, there is no previously known ADC value of each plaque
component from an in-vivo study. The technique demonstrated here can now be
used to further investigate the ADC in all types of plaque components.
1376.
Parallel
Line Scan Diffusion Imaging with 2D Acceleration
Renxin Chu1, Bruno Madore1, Lawrence P. Panych1, Mohammed H. Aljallad1, Stephan E. Maier1
1Radiology, Brigham and Women's Hospital,
Harvard Medical School, Boston, MA, USA
Line scan diffusion imaging (LSDI) is a one-dimensional
Fourier encoding techniques that typically does not involve phase encoding. The
absence of phase encoding provides considerable robustness against motion and
immunity from artifacts caused by field inhomogeneities and susceptibility. We
propose a novel parallel line scan diffusion imaging with 2D acceleration technique
by modulating the 90° and 180° slice selection pulses with a cosine waveform to
yield double column excitation in 2D simultaneously. Four-fold acceleration can
be achieved, at no cost in SNR. Human brain imaging was carried out to test the
technique. The proposed accelerated technique preserves the significant
advantages of line scan diffusion imaging, more specifically, immunity from
susceptibility-induced signal loses and geometric image distortions.
1377. Measuring
and Correcting Errors That Occur in Diffusion Weighted Images Due to Non-Ideal
Gradient Linearity
Zoltan Nagy1, Daniel C. Alexander2,
Nikolaus Weiskopf1
1Wellcome Trust Centre for Neuroimaging, University College London, London, UK; 2Center for Medical Image Computing, University College London, London, UK
Because the diffusion weighting depends on the gradient
amplitude to the second power, any deviations from the linearity in the
gradient systems are amplified in ADC images. However, if this deviation in the
gradient amplitude is known for each voxel the diffusion weighting b-value can
be corrected, giving the accurate ADC measurement in every voxel. We provided a
simple method of estimating the errors due to each of the diffusion encoding
gradients and a simple formula for voxelwise correction of the ADC images.
1378. Feasibility
of In-Vivo Diffusion Tensor Echo Planar Imaging and Fiber Tracking at
14.1T
Nicolas Kunz1,2, Yohan van de Looij1,2,
Petra S. Hüppi2, Stéphane V. Sizonenko2, Rolf Gruetter1,3
1Laboratory for Functional and Metabolic
Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; 2Division
of Child Growth & Development, Department of Pediatrics, University of
Geneva, Geneva, Switzerland; 3Department of Radiology, University of
Geneva and Lausanne, Geneva and Lausanne, Switzerland
Despite the high interest of combination of DTI and MRS
at ultra-high magnetic field, none such multimodal in vivo studies in the
rodent brain have been published. This combination is very challenging due to
different requirements of the two modalities. High resolution MRS requires the
use of a transceive surface coil. The aim of this study was to implement a
DTI-EPI sequence with whole brain coverage at 14.1T, while using a surface coil
as both transmitter and receiver. We demonstrate the feasibility of in vivo
DTI-EPI at 14.1T using a transceive surface coil with whole brain coverage.
1379. Comparison
of Reduced-FOV Single-Shot EPI Methods for DWI: ZOOM-EPI Vs. 2D Echo-Planar RF
Excitation
Emine Ulku Saritas1, Ken-Pin Hwang2,
Eric T. Han3, Jin Hyung Lee1, Dwight George Nishimura1,
Ajit Shankaranarayanan3
1Department of Electrical Engineering,
Stanford University, Stanford, CA, USA; 2Applied Science Laboratory,
GE Healthcare, Houston, TX, USA; 3Global Applied Science Laboratory,
GE Healthcare, Menlo Park, CA, USA
Single-shot EPI (ss-EPI) is still the most widely used
DWI sequence, due to its robustness against motion-induced phase perturbations.
However, it is challenging to produce high-resolution diffusion images using
ss-EPI. Several reduced-FOV methods have recently been proposed to overcome
this challenge. In this work, we compare two of these methods: Reduced-FOV with
2D echo-planar RF (2D-EPRF) excitation and ZOOM-EPI. To achieve a thorough
comparison, we present in vivo sagittal and axial DWI of the spinal cord
using both techniques.
1380.
Double-Spin-Echo
Diffusion Weighting with a Modified Eddy-Current Adjustment
Jürgen Finsterbusch1,2
1Dept. of Systems Neuroscience,
University Medical Center Hamburg-Eppendorf, Hamburg, Germany; 2Neurimage Nord, Hamburg-Kiel-Lübeck, Germany
Echo-planar imaging suffers from geometric distortions
in the presence of eddy currents which in particular are prominent after
applying diffusion-weighting gradient pulses. To reduce these eddy currents, a
double-spin-echo preparation is commonly used where the four pulse durations
are adjusted to null eddy currents of a given time constant. However, eddy
currents with different time constants are usually present yielding residual
geometric distortions. It is shown that these residual distortions can be
reduced when adjusting the two gradient pairs to different time constants.
Although none of the time constants is compensated completely, the overall
eddy-current performance can be improved.
1381.
K-Space
and Image Space Combination for Motion-Induced Phase Error Correction in 3D
Diffusion-Weighted Imaging
Anh Tu Van1, Dimitrios C. Karampinos2,3,
Bradley P. Sutton1,4
1Electrical and Computer Engineering,
University of Illinois, Urbana, IL, USA; 2Mechanical Science and
Engineering, University of Illinois, Urbana, IL, USA; 3Beckman
Institute, University of Illinois, Urbana, IL, USA; 4Bioengineering,
University of Illinois, Urbana, IL, USA
3D diffusion-weighted imaging (DWI) is highly desirable
when high-resolution isotropic voxels are needed in diffusion tensor imaging.
However, 3D DWI is prone to motion-induced phase errors, much more than the 2D
DWI case. In this work, we extend a previously developed method for
motion-induced phase error correction to 3D DWI data. Based on a simple 3D
acquisition strategy and rigid-body motion model for the motion-induced phase
errors, the new method is time efficient. Both simulation and in vivo
experiments are performed to demonstrate the robustness and effectiveness of
the proposed method.
1382. Hadamard
Slice Encoding for Reduced-FOV Single-Shot Diffusion-Weighted EPI
Emine Ulku Saritas1, Ajit Shankaranarayanan2,
Dwight George Nishimura1
1Department of Electrical Engineering,
Stanford University, Stanford, CA, USA; 2Global Applied Science
Laboratory, GE Healthcare, Menlo Park, CA, USA
A reduced-FOV single-shot EPI method that uses a 90o
2D echo-planar RF excitation has recently been proposed to achieve
high-resolution DWI. This method is compatible with contiguous multi-slice
imaging without the need for slice skip. However, there is a limit on the
number of slices that can be imaged in a simultaneously, determined by the
number of slices that can fit between the two adjacent sidelobes of the
periodic 2D excitation profile. In this work, we present two different Hadamard
slice encoding schemes to double the number of slices for the reduced-FOV
method. Specifically, the refocusing 180o RF pulse used to achieve
Hadamard slice encoding can be applied either on the two adjacent sidelobes, or
on the main lobe of the 2D excitation profile. |
|
Diffusion: Q-Space & Higher Order Approaches |
Exhibit Hall 2-3
Wednesday 13:30-15:30 |
|
1383.
Pearson
Set of Distributions as Improved Signal Model for Diffusion Kurtosis Imaging
Dirk H. J. Poot1, Arjan J. den Dekker2,
Jan Sijbers1
1Visionlab, University of Antwerp, Antwerp, Belgium; 2Delft Center for Systems and Control, TUDelft, Delft, Netherlands
This work explains a new model which includes the
kurtosis of the diffusion process in the model of the recorded diffusion
weighted images. This new model is based on the Pearson set of statistical
distributions. Compared to the traditional Taylor approximation based model of
the diffusion weighted images, this model provides more realistic and accurate
predictions of the magnitude of the diffusion weighted images, especially for
large b-values. To be able to estimate the kurtosis, these large b-values are
needed. Therefore, this improved model is relevant for the estimation of
kurtosis measures from diffusion weighted images.
1384. Importance
of Multiscale Analysis in HARDI Studies
Irina Kezele1, Cyril Poupon1,
Maxime Descoteaux1, Fabrice Poupon1, Jean-François Mangin1
1NeuroSpin, CEA, Saclay, France
High angular resolution distribution diffusion imaging
(HARDI) implicitly captures information about the structure in which the
diffusion process takes place. HARDI allows examination of relatively wide
range of diffusion signal angular frequencies that, due to the complexity of
both diffusion process and its milieu, may spread over multiple bands. In
consequence, we opt for multiscale analysis, probing all frequencies, but also
favouring those frequencies that are more in concordance with our specific
aims, which are to deduce and sharpen fibre distributions. Inherent HARDI signal
sphericity motivated us to take on the concepts of multiscale spherical wavelet
analysis. We show the importance of multiscale signal analysis, and how
different angular frequency bands may capture complementary information on
underlying fibre distribution.
1385. Groupwise
Non-Rigid Registration of 4th-Order Diffusion Tensor Fields and Atlas
Construction
Angelos Barmpoutis1, Baba C. Vemuri1,
Dena Howland2, John R. Forder3
1CISE, University of Florida,
Gainesville, FL, USA; 2Neuroscience, University of Florida,
Gainesville, FL, USA; 3Radiology, University of Florida,
Gainesville, FL, USA
In this work we present a method for simultaneous
groupwise non-rigid registration of 4th-order tensor fields and atlas
construction. To achieve the task of registration, we first define a novel
distance measure on 4th order tensors using the Riemannian metric of positive
real numbers. This metric is employed in an unbiased cost function, that is
being minimized in order to estimate the unknown deformation fields and at the
same time construct the unknown 4th-order tensor field atlas. We demonstrate
the method using DW-MRI datasets from three rat spinal cords.
1386. A
Comparison of Two Models of Anomalous DWI Based on a Known Distribution of
Water Diffusion Rates
CHU-YU LEE1, Kevin M. Bennett2,
Lina J. Karam1, Joseph P. Debbins3
1Department of Electrical Engineering,
Arizona State University, Tempe, AZ, USA; 2Harrington Department of
Bioengineering, Arizona State University, Tempe, AZ, USA; 3Keller
Center for Imaging Innovation, Barrow Neurological Institute, Phoenix, AZ, USA
Sretched exponential (£\DWI) and second-order cumulant
(DKI) models were developed to describe the non-monoexponential signal
attenuation of a DWI experiment. Both £\ and Kapp are thought to reflect
heterogeneity in water diffusion rates, but their relationship to the
underlying biophysics is still unclear. In this work, we simulated a simplified
physical system of either one or two water compartments with a known
distribution of water diffusion rates, and studied how these two models
behaved. Our results showed that £\ is directly related to var[D] in both the
one- and two-compartment models. Kapp is sensitive to both to E[D] and var[D].
Besides, £\DWI may be preferred when high b-values can be used, but DKI may be
preferred at low b-values. However, because DKI is limited to low b-value
ranges, it may be insensitive to changes in slow diffusion. These two models
are thus similar, but have separate relationships to the intravoxel
distribution of water diffusion rates.
1387.
Non-Rigid
Registration of Diffusion Weighted Images Using Fibre Orientation Distributions
David Raffelt1,2, J-Donald Tournier3,4,
Jurgen Fripp5, Natasha Lepore6, Stuart Crozier2,
Alan Connelly3,4, Olivier Salvado1
1The Australian E-Health Research Centre,
CSIRO, Brisbane, QLD, Australia; 2Department of Biomedical
Engineering, University of Queensland, Brisbane, QLD, Australia; 3Brain
Research Institute, Florey Neuroscience Institutes (Austin), Melbourne, VIC,
Australia; 4Department of Medicine, University of Melbourne,
Melbourne, VIC, Australia; 5The Australian E-Health Research Centre,
CSIRO,, Brisbane, QLD, Australia; 6Laboratory of Neuro Imaging,
David Geffen School of Medicine UCLA, Los Angeles, CA, USA
Fibre Orientation Distributions (FODs) obtained from
diffusion weighted imaging (DWI) provide a non-invasive method to investigate
white matter structure and connectivity. In order to compare white matter between
individuals, spatial normalisation is required. We propose a free form
deformation registration method using a novel similarity measure that optimises
directly on FODs. Our technique compared favourably with existing T1 weighted
and fractional anisotropy based methods: average images were sharper indicative
of more accurate spatial alignment. Unlike existing scalar or diffusion tensor
based techniques, this method exploits information provided by FODs in voxels
with crossing fibres, independently of how FOD are computed.
1388.
Spatial
Transformations of Fiber Orientation Fields
Rafael Alonso Clarke1,2, Giovanna Rizzo3,
Daniela Perani4, Giuseppe Scotti2, Ferruccio Fazio1,3,
Paola Scifo1,2
1Nuclear Medicine, San Raffaele Scientific
Institute, Milan, -, Italy; 2CERMAC, San Raffaele Scientific
Institute, Milan, -, Italy; 3IBFM, CNR, Milan, -, Italy; 4Università Vita-Salute San Raffaele, Milan, -, Italy
To perform group-level analyses and compare subjects,
due to differences in brain shape and size, geometrical transformations must be
applied to images to overlap regions.For DTI, the directional information can
be considered in transformations using the Preserve Principal Directions
method.In this work we present a novel method that we call Preservation of
Principal Branches, for the transformation of Fiber Orientation Distribution
objects (FODs) that takes into account their specific shapes.
1389. A
Polynomial Based Approach to Extract Fiber Directions from the ODF and Its
Experimental Validation
Aurobrata Ghosh1, Elias Tsigaridas2,
Maxime Descoteaux3, Rachid Deriche4
1Project Odyssée, INRIA Sophia Antipolis
Méditerranée, Sophia Antipolis, Alpes Maritimes, France; 2Project
GALAAD, INRIA Sophia Antipolis Méditerranée, France; 3NMR Lab,
Neurospin / CEA, Saclay, France; 4Project Odyssée, INRIA Sophia
Antipolis Méditerranée, France
This paper presents a polynomial based approach for
extracting the maximal directions of a spherical function, for example the ODF.
It rewrites the ODF in the homogeneous polynomial (HP) basis constrained to the
sphere and solves a constrained optimization problem algebraically. This
guarantees that all the maxima are computed at once and also provides a measure
for the quality of the maxima estimation. Since it works with a continuous
polynomial function, this approach is not dependent on a discrete mesh for the
mesh-resolution and mesh-orientation. The approach is tested on synthetic,
phantom and real datasets and compared to a discrete mesh search approach. It
is shown how this HP method naturally overcomes the inherent limitations of the
discrete search method.
1390.
Estimation
of Cell Size Using the Composite Hindered and Restricted Model of Diffusion
Yaniv Sagi1, Peter J. Basser2,
Yaniv Assaf1
1Department of Neurobiology, Tel Aviv
University, Tel Aviv, Israel; 2Eunice Kennedy Shriver National
Institute of Child Health and Human Development, The National Institutes of
Health, Bethesda, MD, USA
In this work we used diffusion imaging to estimate the
average size of cells in a culture. Two cell cultures differing in cell size
were scanned. The signal decay appears to be multi-exponential, indicating
multi-compartmetation or restricted diffusion. The signal was fitted to a model
of diffusion in two compartments: a hindered, extra-cellular compartment and a
restricted, intra-cellular compartment. This enabled us to estimate the mean
size of cells in each culture and the volume fractions of intra- vs. extra-cellular
matrices. The results are in agreement with known sizes of these types of
cells.
1391.
Diffusion
Propagator Imaging (DPI): An Alternative to Diffusion Spectrum Imaging (DSI)
Maxime Descoteaux1, Kuan-Hung Cho2,
Yi-Ping Chao3, Chun-Hung Yeh3, Jean-François Mangin1,
Ching-Po Lin3, Cyril Poupon1
1NeuroSpin, IFR 49, CEA Saclay,
Gif-sur-Yvette, France; 2National Taiwan University, Taiwan; 3National
Yang-Ming University, Taiwan
We propose an alternative to diffusion spectrum imaging called diffusion
propagator imaging (DPI). DPI can reconstruct the diffusion propagator from
only two spherical shells and around 100 diffusion measurements. The DPI
solution is analytical, efficient and compact.
1392. Using
Spatial Priors for Better Reconstruction of Fiber Orientation Function in
Diffusion MRI
Ashish Raj1, Christopher Hess2,
Pratik Mukherjee2
1Radiology, Weill Medical College of
Cornell University, New York, NY, USA; 2Radiology, UCSF, San
Francisco, CA, USA
MR Diffusion Imaging is an important noninvasive method
for probing the white matter connectivity of the human brain. Current methods
such as diffusion tensor imaging (DTI), high angular resolution diffusion
imaging (HARDI), and diffusion spectrum imaging (DSI) are limited by low
spatial resolution, long scan times, and low signal-to-noise ratio (SNR). These
methods perform reconstruction on a voxel-by-voxel level, effectively
discarding the natural coherence of the data at different points in space. We propose
a Bayesian reconstruction to exploit a priori constraints about the smoothly
varying orientation structure of white matter tracts over 3D space, and thereby
improve their spatial resolution and noise tolerance.
1393. Computed
Tomographic (CT) Reconstruction of the Average Propagator from Diffusion
Weighted MR Data
Wolfram R. Jarisch1, Evren Özarslan2,
Peter J. Basser
1Cyber Technology, Potomac, MD, USA; 2NICHD, NIH, Bethesda, MD, USA
We propose a new method for computed tomography (CT)
reconstruction of the entire 3-D Average Propagator, P(r), from
diffusion-weighted (DW) MRI data. It entails recognizing that the central slice
theorem relates an oblique planar slice of the DWI data in q-space and the
corresponding 2-D marginal distribution (projection) of P(r) in r-space.
Economy in the CT reconstruction is achieved by employing High-Efficiency CT
(HECT), a new CT reconstruction method based on an approximation to Bayes
maximum a posteriori (MAP) estimation, along with a priori information, and an
optimized experimental design. Our goal is to reconstruct P(r) using
approximately 256 DWIs.
1394.
Optimizing
the Diffusion Weighting Gradients for Diffusion-Kurtosis Imaging
Dirk H. J. Poot1, Arjan J. den Dekker2,
Marleen Verhoye3, Ines Blockx3, Johan Van Audekerke3,
Annemie Van Der Linden3, Jan Sijbers1
1Visionlab, University of Antwerp,
Antwerp, Belgium; 2Delft Center for Systems and Control, TUDelft,
Delft, Netherlands; 3Bio-Imaging Lab, University of Antwerp,
Antwerp, Belgium
A problem in diffusion kurtosis estimation is the large
number of diffusion weighted images that need to be recorded for reliable
kurtosis estimates. By optimizing the individual gradient directions and
strengths with which the diffusion weighted images are recorded, the precision
of kurtosis measures can be maximized for any number of diffusion weighted
images, or, alternatively, the number of diffusion weighted images can be
minimized for a given precision. This work proposes a method to optimize the
set of gradient directions and strengths of diffusion weighted images, by
minimizing the Cramér-Rao-lower-bound of a kurtosis measure.
1395.
Regularized
Q-Ball Reconstruction: Robust Estimation, Model Selection, and Spatial
Denoising
Jaime E. Cisternas1, Pedro Daza1,
Takeshi Asahi2, Tim B. Dyrby3, Klaus Fritzsche4
1Engineering School, Universidad de los
Andes, Santiago, RM, Chile; 2Center for Mathematical Modelling,
Universidad de Chile, Santiago, Chile; 3Danish Research Centre for
Magnetic Resonance, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark;
4Division of Medical and Biological Informatics, German Cancer
Research Center (DKFZ), Heidelberg, Germany
Diffusion weighted MRI offers the possibility of
measuring the random motion of water molecules, revealing important microscopic
features of anisotropic tissue such as the orientation of white matter fiber
tracts. For high angular resolution acquisitions, recently proposed methods
such as Q-ball describe the directional heterogeneity of complex voxels and
should in principle detect fiber crossings. Now the Q-ball model, in its
different implementations, has a large number of degrees of freedom that are
difficult to estimate in the presence of noise, leading to overfitting and
artefacts. The present work proposes a variational framework for the
estimation, spatial smoothing and model selection, that greatly reduces the
impact of noise on the estimated parameters and on other quantities such as the
principal and secondary diffusion orientations. Some of the key ingredients of
the approach are the use of an expansion in terms of real spherical harmonics
to describe the orientation distribution, and a rotationally invariant metric
of the coefficients of the expansion.
1396. Simple
Harmonic Oscillator Based Reconstruction and Estimation for Three-Dimensional
Q-Space MRI
Evren Ozarslan1, Cheng Guan Koay1,
Timothy M. Shepherd2, Stephen J. Blackband3, Peter J.
Basser1
1STBB / NICHD, National Institutes of
Health, Bethesda, MD, USA; 2University of California, San Francisco;
3University of Florida
We present an analytical representation of the
three-dimensional q-space signal as a series of eigenfunctions of the 3D simple
harmonic oscillator operator in spherical coordinates. The estimation problem
lends itself naturally to a convex quadratic programming problem where we
impose inequality constraints ensuring the positivity of the probabilities. The
reconstruction of the average propagator is immediate once the estimation is
performed. The results on human hippocampus data suggest that the technique is
practical and robust.
1397.
Axon
Radius Estimation Using Optimised Stejskal–Tanner and Dual Spin-Echo Sequences at
Modest SNR
Jonathan D. Clayden1, Zoltan Nagy2,
Daniel C. Alexander3, Chris A. Clark1
1Institute of Child Health, University
College London, London, England, UK; 2Wellcome Trust Centre for
Neuroimaging, University College London, London, England, UK; 3Department
of Computer Science, University College London, London, England, UK
This work describes a process for optimising both
Stejskal-Tanner and dual spin-echo diffusion weighted EPI sequences, for the
specific purpose of estimating axon radius or other microstructural properties
of white matter. The dual spin-echo sequence is optimised with and without
eddy-current nulling. We compare the sequences' suitabilities for estimating
axon radius, and demonstrate their ability to recover radius information, even
with modest gradient strength and SNR.
1398.
NEX
or No NEX? a High Angular Resolution Diffusion Imaging Study
Maxime Descoteaux1, Nicolas Wiest-Daesslé2,
Sylvain Prima2, Christian Barillot2, Rachid Deriche3,
Cyril Poupon1
1NeuroSpin, IFR 49, CEA Saclay,
Gif-sur-Yvette, France; 2VISAGES Projet, INRIA, Rennes, France; 3Odyssee
Projet, INRIA, Sophia Antipolis, France
The need for multiple NEX and averaging along each
diffusion gradient direction is shown to be unnecessary. This can significantly
reduce acquisition time. We show that a proper filtering of the diffusion
measurements correcting the Rician noise bias can increase the quality and
coherence of HARDI reconstructions and anisotropy maps while preserving the
angular resolution of the reconstruction method.
1399.
An
Open Source Monte Carlo Framework for Simulating Diffusion in Biologically
Relevant Geometries Including Broken, Crimped and Bulging Axons
Bennett Allan Landman1, Jonathan A. Farrell2,3,
Peter C. van Zijl2,3
1Biomedical Engineering, Johns Hopkins
University, Baltimore, MD, USA; 2Radiology, Johns Hopkins University
School of Medicine, Baltimore, MD, USA; 3F.M. Kirby Research Center
for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
Diffusion-weighted MRI techniques provide contrasts
sensitive to tissue micro-architecture, but current derived-contrasts are
non-specific for white matter pathologies. Significant efforts are underway to
enhance inference of micro-architecture, and computational models are
essential. Previous simulations were largely limited to cylinders and spheres.
We present an efficient and flexible framework for simulating diffusion in
arbitrary, 3-D compartments and demonstrate our approach by comparing diffusion
in healthy, broken, crimped, and bulging axons. This open-source framework
enables quantitative comparison of diffusion in biologically relevant
restriction geometries which are not analytically accessible and provides a
basis for developing and testing higher order diffusion model methods.
1400.
Millimeter
Analytical Q-Ball Fiber Density Function for a Better Separation of Fiber
Populations at 7T
Cyril Poupon1,2, Christopher J. Wiggins1,2,
Maxime Descoteaux1,2, Thorsten Feiweier3, Jean-François
Mangin1,2, Denis Le Bihan1,2
1CEA NeuroSpin, Gif-sur-Yvette, France; 2IFR 49, Gif-sur-Yvette, France; 3Siemens AG, Erlangen, Germany
The purpose of this work was to demonstrate the
feasibility of diffusion-weighted imaging at ultra-high field (7T) with a true
millimeter resolution within a reasonable acquisition time. We also demonstrate
the possibility of using b-values for performing high angular resolution
diffusion imaging (HARDI) such as Q-ball imaging. The results show that high
resolution structural organization of the fibers can be revealed with such
millimeter data that could not be easily extracted from standard 2mm isotropic
data at lower 1.5T or 3.0T fields
1401. Using
a Mixture of Watson Distributions to Estimate Intrinsic Fiber Diffusion
Properties
Ha-Kyu Jeong1,2, John C. Gore1,2,
Adam W. Anderson1,2
1Vanderbilt University Institute of
Imaging Science (VUIIS), Vanderbilt University, Nashville, TN, USA; 2Department
of Radiology, Vanderbilt University, Nashville, TN, USA
In this study, we derived an analytical relationship
demonstrating that the spherical deconvolution representation of diffusion
weighted signal can be modeled using a Watson directional distribution model.
Using a mixture of Watson distributions, we showed that individual fiber
orientations, volume fractions and radial diffusivities can be estimated and
visualized. Also, the dominance of one fiber bundle over the other fiber
appears clearer when considering estimates of fiber volume fraction and radial
diffusivity.
1402. Fanning
and Bending Sub-Voxel Structures in Diffusion MRI
Shahrum Nedjati-Gilani1, Daniel C. Alexander1
1Centre for Medical Image Computing, University College London, London, UK
We present a new model for fanning and bending white
matter structures on a sub-voxel scale, and explore the suitability of the
model for estimating the degree of fanning in each voxel of a human brain
diffusion MRI acquisition. Preliminary work suggests that we can use the model
to reconstruct fanning structures in real brain data and provide quantitative
information about the fanning structure. Defining the structure more accurately
allows more appropriate action to be taken by tractography algorithms,
resulting in fewer false positive and false negative tracts.
1403.
Rapid
Data Acquisition and Post-Processing for Diffusional Kurtosis Imaging
Jens Hesselberg Jensen1, Caixia Hu1,
Joseph A. Helpern1,2
1Radiology, New York University School of
Medicine, New York, NY, USA; 2Center for Advanced Brain Imaging,
Nathan Kline Institute, Orangeburg, NY, USA
By utilizing an optimized data acquisition scheme
together with a more efficient analysis algorithm, it is shown how to
substantially reduce, compared to established approaches, the imaging and
post-processing times for diffusional kurtosis imaging (DKI), a recent
extension of diffusion tensor imaging which allows measures of diffusional
non-Gaussianity to be estimated. This improved procedure permits full brain
coverage to be obtained within a few minutes, thus facilitating the
incorporation of DKI into clinical protocols. The rapid analysis algorithm
should also make possible real-time DKI post-processing. |
|
DTI Methods |
Exhibit Hall 2-3
Thursday 13:30-15:30 |
|
1404.
Outlier
Detection for Diffusion Tensor Imaging by Testing for ADC Consistency
Hangyi Jiang1,2, Min-chung Chou1,2,
Peter C.M. van Zijl1,2, Susumu Mori1,2
1Johns Hopkins University, Baltimore, MD,
USA; 2Kennedy Krieger Institute, Baltimore, MD, USA
Diffusion tensor imaging (DTI) is an important tool to study brain white matter
anatomy and its abnormalities. However, DTI-derived variables are affected by
various sources of signal uncertainty. In this work, a new method to
automatically detect and remove corrupted diffusion-weighted images due to
subject motion is proposed. This approach iteratively identifies potential
outliers by evaluating error-maps created from the apparent diffusion constant
(ADC) maps derived from the original diffusion-weighted images and the
estimated tensor matrix. Error clustering and gradient-neighboring analyses
were used as criteria for outlier judgment.
1405.
Estimation
of the Eddy-Current Induced Magnetic Field from Affine-Transformation
Parameters and Its Relevance for the Comparability of DTI Data
Siawoosh Mohammadi1, Harld Möller2,
Harald Kugel3, Dirk Müller2, Michael Deppe1
1Department of Neurology, University of
Muenster, Münster, NRW, Germany; 2Magnetic Resonance Unit, Max
Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Sachsen,
Germany; 3Department of Clinical Radiology, University of Muenster,
Münster, NRM, Germany
The eddy current distortions and motion artifacts vary
strongly between DTI data depending on the type of MR scanner and on the MR
parameters. Although parts of these artifacts can retrospectively be corrected,
residual EC artifacts remain and reduce the comparability of DTI data. In this
study we present a method to estimate the EC induced magnetic field (EC field)
from affine transformation parameters that were used for EC and motion
correction. We further reconstructed parts of the long-term time course of EC
field and demonstrated that this can be used to assess the comparability of DTI
data.
1406.
Comparison
of SNR and Diffusion Parameters on 1.5, 3.0 and 7.0 Tesla
Daniel Polders1, Hans Hoogduin1,
Manus Joseph Donahue2, Jeroen Hendrikse1, Peter Luijten1
1Radiology, UMC Utrecht, Utrecht, Netherlands; 2Clinical neurology, University of Oxford, Oxford, UK
We compare the performance of a regular DTI sequence on
three clinically relevant field strengths: 1.5, 3.0 and 7.0 Tesla. We inspected
regional differences in the corpus callosum, corticospinal tract and optic
radiations, comparing SNR and FA. Despite the fact that scanning at 7T is still
far from optimal, a significant gain of SNR with field strength is shown. Even
without further improvements on B0 and B1 shimming, we show that DTI at 7T is
not only feasible but also beneficial for SNR.
1407. Less
Severe Spinal Cord Injury in Dysmyelinated Mice Evaluated Using DTI and
Locomotion
Tsang-Wei Tu1, Joong Hee Kim2,
Sheng-Kwei Song2
1Mechanical, Aerospace and Structrual
Engineering, Washington University, St. Louis, MO, USA; 2Radiology,
Washington University, St. Louis, MO, USA
In addition to the direct mechanical damage after spinal
cord injury (SCI), secondary injury plays a crucial role in the progressive
degeneration of the spinal cord. The lack of myelin sheaths in shiverer mice
may provide a more hospitable environment for axonal regeneration after SCI.
The long-term functional outcome is affected by both the initial damage and the
extent of secondary injury. The less severely effected DTI parameters and
hindlimb locomotion in shiverer mice suggest that the lack of myelin debris may
indeed have significantly inhibition to the axonal regeneration in SCI. Our
data suggest that the different degrees of recovery are probably due to the
lack of myelin debris in the shiverer mice.
1408.
Fitting
to Magnitude Diffusion MRI Data Using a Least Squares Algorithm Gives Biased
ADC Values and Is Less Able to Characterise Necrosis
Simon Walker-Samuel1, Matthew Orton1,
Lesley D. McPhail1, Simon P. Robinson1
1Cancer Research UK Clinical Magnetic Resonance Research Group, Institute of Cancer Research, Sutton, Surrey, UK
The noise in magnitude MR data is Rice-distributed, and
it has been shown previously that fitting using a least-squares algorithm leads
to biased ADC estimates. In this study, the magnitude of this bias in
orthotopic PC3 tumours is investigated and compared with a robust maximum
likelihood approach. It is found that least-squares over-estimates ADC by an
average of 23.4 ± 12 %.. More significantly, regions of
histologically-confirmed necrosis are not identifiable in ADC maps from the
least-squares algorithm, but can be clearly observed in maximum-likelihood
maps.
1409. On
the Battle Between Rician Noise and Phase-Interferences in DWI
Stefan Skare1, Samantha Holdsworth1,
Rexford D. Newbould2, Roland Bammer1
1Radiology, Stanford University, Palo Alto, CA, USA; 2GlaxoSmithKline, London, UK
It has been shown that complex averaging benefits
diffusion-weighted imaging (DWI) by reducing the influence of the noise bias in
the ADC and DTI. However each component DW image must be phase corrected prior
to averaging across diffusion repetitions and directions. The triangular
windowing phase correction approach will help to remove phase-related artifacts
due to pulsatile brain motion, but a large window radius still result in
pronounced Rician noise in the mean DWI data. Here we have reduced the
triangular window radius to minimize the amount of Rician noise in the final
isotropic-DWI data, without introducing phase cancellations.
1410. Automated
Image Quality Assessment for Diffusion Tensor Data
James Meakin1, Serena Counsell2,
Emer Hughes3, Jo V. Hajnal3, David J. Larkman3
1Physics Department, Imperial College London, London, UK; 2Imaging Sciences Department, Clinical Sciences
Centre MRC, London, UK; 3Imaging Sciences Department, Imperial College London, London, UK
In single shot EPI based DTI motion between acquisitions
can be corrected by image registration approaches but individually damaged
images are generally uncorrectable. This work outlines an algorithm designed to
automatically identify and reject damaged images in large diffusion datasets,
an otherwise manually intensive step. The approach calculates an estimate of
the diffusion images using a data driven forward model and then compares this
prediction to the acquired data using 2D image correlation to identify outlier
images. The method has been tested on 9 preterm infant data sets and 9 adult
data sets.
1411. Exploring
the White Matter Microstructure Underpinning Electrophysiological Dynamics: A
Combined DT-MRI and MEG Study
Derek K . Jones1, Alex Leemans1,
Christopher John Evans1, Krish D. Singh1, Suresh D.
Muthukumaraswamy1
1CUBRIC, School of Psychology, Cardiff University, Cardiff, Wales, UK
Neuronal oscillations at specific frequencies appear to
be fundamental to the implementation of perception and cognition within the
brain. Gamma oscillations (30-100 Hz) have been proposed as a temporal coding
scheme through which distributed neuronal groups are able to synchronise –
allowing communication between these areas and underlying the “binding” of
stimulus features. We combined DT-MRI and MEG data on gamma oscillations to
address the question of whether whether there is a role for white matter
pathways in gamma oscillatory behaviour. Certain aspects of our finds are
expected, while others are not – leading to important insights about analysis
of DT-MRI data.
1412. Quantitative
Mapping of Diffusion Characteristics Under the Cortical Surface
Bang-Bon Koo1, Vibhu Sachdev1, Jong
Min Lee2, Dae-Shik Kim1
1Biomedical imaging center, Boston
University, Boston, MA, USA; 2Biomedical Engineering, Hanyang
University, Seoul, Korea
We introduced a new method that allows robust localized
analysis of WM diffusivity in peripheral cortex and showed that DTI mapping of
peripheral WM structure reveals regional characteristics. While we applied this
framework on young normal population, we need to confirm whether peripheral
diffusion successfully reveal spatio-temporal age related maturation process.
Moreover, combining functional imaging techniques will allow to investigate
structure-functional relationships.
1413. Simulated
DTI Data Sets for the Evaluation of Voxel Based Analysis Methods
Wim Van Hecke1,2, Alexander Leemans3,
Steve De Backer1, Paul M. Parizel2, Jan Sijbers1
1University Antwerp, Antwerp, Belgium; 2Radiology,
Antwerp University Hospital, Antwerp, Belgium; 3CUBRIC, University
of Cardiff, Cardiff, Wales, UK
In this work, simulated DTI data sets with a predefined
pathology (i.e. known spatial location, size, and shape of the altered
diffusion properties) are constructed. The simulated DTI data sets can be used
to investigate the reliability, accuracy, and precision of a voxel based or
region of interest analysis. In addition, the effect of the different parameters
and post processing steps that are involved in the pipeline of a voxel based
analysis can be examined and even optimized, which could lead to a more
reliable, standardized, and consistent post-processing of DT images for
studying different pathologies.
1414. Polyvinylpyrrolidone
(PVP) Water Solutions as Isotropic Phantoms for Diffusion MRI Studies
Carlo Pierpaoli1, Joelle Sarlls1,
Uri Nevo1,2, Peter J. Basser1, Ferenc Horkay1
1NIH, Bethesda, MD, USA; 2Department
of Biomedical Engineering, Tel-Aviv University, Tel-Aviv, Israel
In this work we characterize the diffusion behavior of
aqueous solutions of PVP as candidates for a non-toxic diffusion MR phantom
suitable for use in a clinical setting. We find that PVP solutions have desirable
characteristics. They have temporal stability, show gaussian diffusion
profiles, and cover the large range of diffusivities observed in human tissues.
1415.
Effects
of Preprocessing on Goodness of Fit Measures in Premature Neonatal DTI
Drew Morris1, Revital Nossin-Manor1,
Margot J. Taylor1, John G. Sled2,3
1Diagnostic Imaging, The Hospital for
Sick Children, Toronto, Ontario, Canada; 2Physiology Experimental
Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada; 3Department
of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
DTI was performed on 19 premature neonates (mean post
conceptional age 29 weeks). Motion/eddy current correction, B0 field
inhomogeneity correction and outlier rejection were applied to the data prior
to a nonlinear tensor fit. Goodness of fit in the model was evaluated by
measuring the mean sum squared residual before and after each processing step.
Each step was found to reduce model residuals, thereby improving the model.
Fractional anisotropy was also found to decrease with preprocessing. It was
also demonstrated that removing outliers before other preprocessing steps
showed better data improvement than doing so afterwards in voxels with higher
anisotropy.
1416. Longitudinal
Changes in Diffusivity After Long-Term Storage of Postmortem Tissue
Tim B. Dyrby1, William FC. Baaré1,
Daniel C. Alexander2, Jacob Jelsing3, Ellen Garde1,
Lise V. Søgaard1
1Danish Research Centre for Magnetic
Resonance, Copenhagen University Hospital, Hvidovre, Denmark; 2Centre
for Medical Image Computing, Dept. Computer Science, University College London,
London, UK; 3Research Laboratory for Stereology and Neuroscience,
Copenhagen University Hospital, Bispebjerg, Denmark
Compared to in vivo, diffusion weighted imaging (DWI)
obtained postmortem benefits from longer scanning times, thereby improving both
image resolution and SNR. An additional, overseen feature is the possibility of
long-term storage, which would allow the instigation of brain repositories from
where specimens could be loaned for use in DWI projects. In this study, we have
investigated possible longitudinal changes in diffusivity of archived
postmortem brain tissue over a nearly four-year period. Repeated DWI measurements
were obtained on perfusion-fixated pig brains, with steps taken to ensure that
the postmortem DWI was representative of in vivo conditions.
1417.
DTI
Smoothing by Hierarchical, Adaptive and Robust Strategy
Songyuan Tang1, Yong Fan1, Hongtu
Zhu2, Wei Gao1, Weili Lin1, Dinggang Shen1
1Department of Radiology and
BRIC,University of North Carolina, Chapel Hill, NC, USA; 2Biostatistics
and Biomedical Research Imaging Center, University of North Carolina, Chapel
Hill, NC, USA
We have proposed a new method for adaptively estimating
and smoothing DTs based on DWIs. The proposed method has three distinct
novelties. First, it used robust anisotropic diffusion in log-Euclidean space
for DT smoothing. Second, it employed a hierarchical strategy to adaptively
smooth DTs. Finally, to achieve adaptive tensor estimation, an iterative
estimation of weighting coefficients was employed to characterize the
similarity between neighboring tensors. Both the results on simulated and human
data suggest that the proposed approach outperforms the currently existing
approach. Evaluation of the performance of the proposed method on large dataset
is currently ongoing.
1418. Analysis
of High b-Value Diffusion Images Using a Fractional Order Diffusion
Model with Denoising Image Reconstruction
Qing Gao1,2, Justin P. Haldar3,
Novena Rangwala1,2, Richard L. Magin2, Zhi-Pei Liang3,
Xiaohong Joe Zhou1,4
1Center for Magnetic Resonance Research,
University of Illinois Medical Center, Chicago, IL, USA; 2Department
of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA; 3Department
of Electrical and Computer Engineering, University of Illinois at
Urbana-Champaign, Urbana, IL, USA; 4Departments of Radiology,
Neurosurgery, and Bioengineering, University of Illinois Medical Center,
Chicago, IL, USA
Low signal-to-noise ratio (SNR) has been a major source
of error in quantitative analyses of diffusion images with high b-values. In
this study, we have applied a statistical model for joint reconstruction and
denoising on a set of images acquired from the human brain with b-values up to
3,300 s/mm2. The denoised images were analyzed using a fractional order (FO)
diffusion model to obtain a set of diffusion parameters. With a more than
two-fold increase in SNR and a negligible compromise of spatial resolution, the
accuracy of the diffusion parameters has been considerably improved, making it
possible to apply complex diffusion analysis with high b-values to patient
studies.
1419.
Exploring
Analytic Models of the Diffusion MR Signal in Fixed Rat Brain Tissue
Eleftheria Panagiotaki1, Hubert M. J. Fonteijn1,
Shahrum Nedjati-Gilani1, Matt G. Hall1, Daniel C.
Alexander1
1Centre for Medical Image Computing, Computer
Science, University College London, London, UK
In this work we devise a protocol to allow examination
of parallel and perpendicular signals in rat brain white matter and use this
protocol to compare three models of diffusion. The models are the diffusion
tensor (DT), Behrens’ model (ball and stick) and Alexander’s simplified version
of CHARMED (cylinder model). We find that the cylinder model explains the
perpendicular signal well; however the common assumption of free diffusion in
the parallel direction to the fibres is not supported by the models we fit to
our scan data.
1420. Diffusion
Weighted Imaging of the Human Brain in P. Falciparum Malaria
Christina Louise Tosti1, Jordan Muraskin1,
Xavier Golay2, Jiraporn Laothamatas3, Marc Van Cauteren4,
Melvyn B. Ooi1, Varinee Lekprasert3, Noppadon Tangpukdee3,
Srivicha Krudsood3, Wattana Leowattana3, Sornchai
Looareesuwan3, Polrat Wilairatana3, Robert L. DeLaPaz1,
Gary M. Brittenham1, Adam M. Brickman1, Truman R. Brown1
1Columbia University, New York, NY, USA; 2University
College London, London, UK; 3Mahidol University, Bangkok, Thailand; 4Philips
Healthcare Systems Asia Pacific, Tokyo, Japan
A better understanding of the pathogenesis of malaria is
needed to reduce fatalities and combat emerging drug resistance. P.
falciparum malaria remains entirely within the vascular space of the
brain, and the means whereby it can cause severe neurological dysfunction, coma
and death are unknown. To assess the sensitivity of MR to cerebral changes in
malaria and, in particular, changes in the apparent diffusion coefficient, we
performed serial MRI studies at 3T in adult patients admitted for malarial
treatment in Bangkok, Thailand and compared the results to controls using a
voxelwise analysis.
1421.
Quantitative
Measures of Glioma Edge Characteristics on Diffusion Weighted Images –
Interobserver Agreement.
John Robert Cain1, Gerard Thompson1,
Samantha Jane Mills1, Alan Jackson1
1Imaging Science and Biomedical Engineering,
University of Manchester, Manchester, UK
A reproducibility study of two quantitative measures of
apparent diffusion coefficient (ADC) image tumour boundaries. ADC Transition
Coefficient into Oedema (ATCO) is a measure of change of ADC signal across the
interface between oedema and white matter, ADC Transition Coefficient into
Tumour (ATCT) is a measure of change of ADC signal across the oedema/solid
tumour interface. Twenty-three patients with glioma were imaged on a 3T system,
ADC images were analysed by two radiologists using a clearly defined method.
These measures are simple, quick to perform and have excellent reproducibility,
interclass correlation coefficient 0.895 and 0.834 for ATCO and ATCT
respectively.
1422. Use
of Fractional Anisotropy for Determination of the Cut-Off Value in
11C-Methionine Positron Emission Tomography for Glioma.
Manabu Kinoshita1, Naoya Hashimoto1,
Tetsu Goto1, Takufumi Yanagisawa1, Naoki Kagawa1,
Haruhiko Kishima1, Jun Hatazawa2, Toshiki Yoshimine1
1Neurosurgery, Osaka University Graduate
School of Medicine, Suita, Osaka, Japan; 2Nuclear Medicine and
Tracer Kinetics, Osaka University Graduate School of Medicine, Suita, Osaka,
Japan
Assessment of biological features of malignant brain
tumor by means of non-invasive image modality is required in the field of
neurosurgery. Previous studies have challenged this issue by looking into
individual data obtained from multimodal neuroradiological assessments. In this
research, we have attempted to integrate DTI-MRI and 11C-methionine PET data to
compensate each other to determine the cut-off values for discriminating normal
and abnormal tissues. We believe that our findings will benefit the
understanding and interpretation of malignant brain tumor imaging on DTI and
11C-methionine PET.
1423.
Patching
Cardiac and Head Motion Artefacts in Diffusion Imaging
Marcel Peter Zwiers1
1Donders Institute for Brain, Cognition
and Behaviour, Radboud University Nijmegen, Nijmegen, -, Netherlands
Motion artefacts are an important but often ignored
problem in diffusion weighted imaging, and can easily corrupt diffusion model
estimations. The post-processing method proposed in this paper uses robust
tensor estimation techniques and specifically takes the spatio-temporal
structure of the most common artefacts, namely from head and cardiac motion,
into account. Simulations demonstrate that the method is more robust and
accurate than previous methods and, moreover, improves results significantly
using real DWI data. The resulting weights are not limited to diffusion tensor
imaging but can also be used to estimate higher order models.
1424. Measurement
of Apparent Long-Range Diffusion of 3He Using Pulsed Gradient Spin
Echo T2 in the Rat Lung at Low Magnetic Field Strength
Giles Santyr1,2, Ryan Kraayvanger1,2,
Xiaojun Xu1,2, William Dominguez-Viqueira1,2
1University of Western Ontario, London, Ontario, Canada; 2Imaging Research Laboratories, Robarts Research
Institute, London, Ontario, Canada
The Apparent Diffusion Coefficient (ADC) of
hyperpolarized 3He in the lung has recently been shown to have heightened
sensitivity to lung diseases, such as COPD, when measured in the long range
diffusion regime (i.e. ~seconds). However, the susceptibility induced gradients
within the lung limit the time-scale and pulse sequences possible for measuring
the ADC on typical clinical MR systems (1.5 – 3.0 T). We explore the use of a
Pulsed Gradient Spin Echo technique at low magnetic field strength (1-100 mT),
where susceptibility induced gradients are greatly reduced, to measure ADC of
hyperpolarized 3He.
1425. Intravoxal
V1-IP: An Improved White Matter Index Compared to Diffusion Anisotropy
Shu-Wei Sun1,2
1Biomedical Engineering, Loma Linda
University, Loma Linda, CA, USA; 2Non-invasive Imaging Lab,
Radiation Medicine, Loma Linda University, Loma Linda, CA, USA
Diffusion anisotropy has been widely used to identify
white matter, but is sensitive to noise and the disease processes. The major
eigenvector of diffusion tensor, V1, has been widely used to reconstruct neural
tractography. We converted V1 to an objective DTI index, the intra-voxel V1-IP,
to serve as an objective DTI index to differentiate white matter from gray matter
and ventricles. Comparing the intra-voxel V1-IP and relative anisotropy (RA),
we demonstrated that intra-voxel V1-IP is a better white matter index than RA
as it is insensitive to noise and neuronal diseases.
1426.
Hierarchical
Diffusion Tensor Image Registration Based on Tensor Regional Distributions
Pew Thian Yap1, Hongtu Zhu2, Weili
Lin1, Dinggang Shen1
1Department of Radiology and BRIC,
University of North Carolina, Chapel Hill, NC, USA; 2Department of
Biostatistics and BRIC, University of North Carolina, Chapel Hill, NC, USA
We propose a novel DTI registration algorithm which
leverages on the hierarchical guidance of tensor regional distributions and
local boundaries, both extracted directly from the tensors. This is in contrast
with conventional methods which typically compute regional and edge information
based on tensor scalar maps, which might not necessarily reflect the actual
tensor information. For each voxel, statistical measures such as mean and
variance are computed in various neighborhood sizes, extracting multiscale
information. Edge boundaries are obtained by an extended Canny edge detector
which works directly on the tensors. Distinctive features are then selected
hierarchically as landmark points to guide the registration.
1427. Estimating
White Matter Tract Volume in Partial Volume Voxels with Diffusion MRI
Jakub P. Piatkowski1, Amos J. Storkey1,
Mark E. Bastin2
1School of Informatics, University of Edinburgh, Edinburgh, UK; 2Medical Physics, University of Edinburgh, Edinburgh, UK
Anisotropy in the water diffusion MRI (dMRI) signal can
be used to determine local white matter (WM) direction and segment major
pathways using tractography. It has also been linked, in the form of fractional
anisotropy (FA), to WM coherence and therefore, indirectly, to WM integrity. It
has been shown, however, that in partial volume (PV) voxels FA is
underestimated compared with voxels containing only WM. This can lead to an
inaccurate estimation of either tract volume or coherence. We address this
problem by fitting a fully physically plausible, 2-compartment model to the
dMRI data that correctly describes PV effects.
1428. Between-Scanner
Variation in Normal White Matter ADC in the Setting of a Multi-Center Clinical
Trial
Jing Huo1, Matthew S. Brown1,
Jeffry R. Alger1,2, Hyun J. Kim3, Whitney B. Pope3,
Kazunori Okada4, Jonathan G. Goldin3
1Department of Radiological Sciences ,
UCLA, Los Angeles, CA, USA; 2Department of Neurology, UCLA, Los Angeles, CA, USA; 3Department of Radiological Sciences, UCLA, Los Angeles, CA, USA;
4Computer Science Department, San Francisco State University, San Francisco, CA,
USA
The aim was to study the between-scanner variation and
the scan-rescan variation of normal brain white matter apparent diffusion
coefficient (ADC) measurements in the setting of multi-center chemotherapy
clinical trial for glioblastoma multiforme which used different scanner models.
Measured baseline BWM ADC values were consistent across six different scanner
models from two manufacturers but ADC coeeficient of variation did vary between
scanner models. The scanners showed no difference in their ability to reproduce
BWM ADC measurement from the same patient on two successive visits.
1429.
Multiple
Fiber Diffusion Anisotropy Analysis in Autistic Children
Zhenyu Zhou1,2, Weihong Guo3,
Tianyu Tang2, Wei Liu1, Bradley S. Peterson1,
Yijun Liu2, Dongrong Xu1
1MRI Unit, Psychiatry, Columbia
University, New York, NY, USA; 2Psychiatry, University of Florida,
Gainesville, FL, USA; 3Mathematics, University of Alabama,
Tuscaloosa, AL, USA
A new Diffusion Anisotropy Index R4 is developed for
characterizing the degree of fiber crossing in DTI data, using a measure of
apparent diffusion coefficient and a method based on spherical harmonic series.
We then used R4 to investigate the relationship between diffusion anisotropy
and multiple fibers crossing within individual voxels. Group differences of FA
and R4 were computed respectively based on DT-MRI data of six autistic children
and six healthy controls. We found that in the autistic population, brain
regions where fibers are highly crossing (corpus callosum/lateral ventricle and
arched fiber/precentral gyrus) are featuring with high R4 and low FA values
simultaneously, indicating possibly a different mechanism other than
pathological abnormality in white matter that causes low FA.
1430. Phenotyping
Aging of the Spontaneously Hypertensive Rat Brain Using 3D Diffusion Tensor
Imaging at 9.4T: A Preliminary Study
Ping Wang1, Suzanne Wehrli2, Elizabeth Stambrook1, Christos Davatzikos3, Ragini Verma3,
Thomas Floyd1,4
1Anesthesiology & Critical Care,
University of Pennsylvania, Philadelphia, PA, USA; 2NMR Core
Facility, The Children's Hospital of Pennsylvania, Philadelphia, PA, USA; 3Radiology,
University of Pennsylvania, Philadelphia, PA, USA; 4Neurology,
University of Pennsylvania, Philadelphia, PA, USA
The Spontaneously Hypertensive Rat (SHR) is
phenotypically characterized by hypertension by age 4 months, with
cerebrovascular changes evidenced by age 6 months. The SHR is widely used in
research for its similarities with humans suffering from hypertension related
disease. MRI-based phenotyping of the SHR brain may offer further insight into
stroke and cognitive impairment in this strain and its appropriateness for
comparative investigations into human disease. The purpose of this work is to
longitudinally assess the hypertension related changes in brain
microarchitecture of this important disease model, the SHR, using 3D high
resolution DTI at 9.4T.
1431.
Improving
Diffusion Tensor Imaging Segmentation Through an Adaptive Distance Learning
Scheme
Paulo Reis Rodrigues1, Anna Vilanova1,
Thorsten Twellmann2, Bart M. ter Haar Romeny1
1Biomedical Image Analysis, Technical
University of Eindhoven, Eindhoven, Noord Brabant, Netherlands; 2MeVis
Medical Solutions AG, Bremen, Germany
Similarity of diffusion tensors is a crucial point in
several applications like segmentation, group statistical analysis, etc. The
selection of the most suitable measure, for a given task, is not always clear
and often done by trial and error. We present a proof of concept of an
initially flexible learning scheme that infers the measure or combination of
measures that achieves the best discrimination between a user selected Region
of Interest and a representative set of tensors of the whole volume. The
results demonstrate the method’s potential to infer the ideal parameters for a
task specific segmentation algorithm, region growing.
1432.
Diffusion
Tensor Shape and Tertiary Eigenvector Encoded Colormaps Reveal Features in
Human Brain Tumor
L-H. Dennis Cheong1, C-C. Tchoyoson Lim1,2
1Neuroradiology, National Neuroscience
Institute, Singapore, Singapore; 2Diagnostic Radiology, Yong Loo Lin School of Medicine National University of Singapore, Singapore
DTI has mainly been used to assess brain white matter
fibers, but the potential to assess micro-structures at the tumor cell level is
unexplored. DTI contains much information beyond FA and v1FA colormap that has
not been well exploited to study tumor microstructure. We found the tensor
shapes encoded colormaps can potentially allow the identification of a rim of
planar tensors at the boundary of a tumor and extracted information contained
within the tertiary eigenvector.
1433. Evolution
of Diffusion Tensor Parameters After Permanent Experimental Stroke in Rats
Miia Pitkonen1,2, Usama Abo-Ramadan1,2,
Eric Pedrono1,2, Ivan Marinkovic1,2, Daniel Strbian1,2,
Aysan Durukan1,2, Turgut Tatlisumak1,2
1Department of Neurology, Helsinki University Central Hospital, Helsinki, Finland; 2Experimental MRI
Laboratory, Biomedicum Helsinki, Helsinki, Finland
In the present work, the temporal evolutions of the
diffusion tensor imaging (DTI) parameters (fractional anisotropy (FA) and
rotationally invariant apparent diffusion coefficient (ADC)) were measured
after permanent middle cerebral artery occlusion (MCAO). Wistar rats (n=9) were
subjected to focal cerebral ischemia. They were imaged at 2 and 3.5 hours, 1,
2, 3, and 4 days, 1, 2, 4, 6, and 8 weeks. The MRI measurements were performed
with a 4.7 T MR Scanner. This study showed that, after permanent MCAO, there
are differences in the temporal evolution of FA in different brain tissues.
1434. Diffusion
Anisotropy Measure Based on the Basis of Tesseral Harmonics
Yuliya Kupriyanova1, Oleg Posnansky1,
N. Jon Shah1,2
1Institute of Neurosciences and
Biophysics, Research Centre Juelich, Juelich, Germany; 2Faculty of
Medicine, Department of Neurology, RWTH Aachen University, JARA, Aachen,
Germany
We present a method for the characterization of
diffusion anisotropy based on the analysis of the apparent diffusion
coefficient profile in terms of the tesseral harmonics series coefficients with
a resulting brain anisotropy map. The tesseral harmonics are an alternative set
of spherical harmonics for real-valued functions. To infer the underlying
diffusion process, we applied the rotationally-invariant anisotropy index. The
characterization of the diffusion anisotropy based on our method is
computationally simple, fast and is consistent with the known fibre anatomy.
1435. Effect
of B-Value and TE on the Estimation of Intramyocellular Diffusion Properties in
the Presence of Edema
Bruce M. Damon1
1Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA
Diffusion tensor imaging (DTI) may be able to provide
information about intramyocellular muscle damage distinctly from T2, but its
ability to do so may be confounded by the presence of edema in SNR, TE, and
b-value dependent manners. Using simulations, it was found that varying TE does
not affect the estimation of intramyocellular water diffusion properties, but
that SNR, b-value, and the volume fraction of the extracellular space do. Using
conventional DTI acquisition schemes, the effects of edema cannot be well
controlled, and so they must be accounted for when interpreting muscle DTI data
in the presence of edema. |
|
Diffusion: Fiber Tracking |
Exhibit Hall 2-3
Monday 14:00-16:00 |
|
1436.
Stochastic
Fibre Tracking: An Average Curves Approach
Nagulan Ratnarajah1, Andy Simmons2,
Ali Hojjat3
1Department of BioSciences, University of
Kent, Canterbury, Kent, UK; 2Centre for Neuroimaging Sciences, Kings
College London, UK; 3Department of BioSciences, University of Kent,
UK
To resolve orientational uncertainties in diffusion
tensor imaging, probabilistic fiber tracking has received considerable interest.
Current approaches model the uncertainty at each voxel with a probability
density function (PDF) for the fiber orientations, then propagate a streamline
in randomly sampled directions, and the most probable path is estimated using
the connectivity map. We consider the random path as a set of curves, and find
the most probable path estimated directly from the generated curves using
average curves. A simple stochastic model is presented here and two
implementations evaluated using phantom and in vivo diffusion MRI data
1437. Diffusion
Simulation Tractography for High Angular Resolution Diffusion Imaging
Ning Kang1, Gregory T. Balls1, Lawrence R. Frank1,2
1Center for Scientific Computation in
Imaging, University of California San Diego, La Jolla, CA, USA; 2Radiology
Department, VASDHS, San Diego, CA, USA
Regions of complex fiber architecture in the presence of
multiple fiber orientations within a single voxel are common in the brain and
pose a significant problem for standard DTI (Diffusion Tensor Imaging) based
fiber tracking methods, therefore limit the utility of HARDI (High Angular
Resolution Diffusion Imaging) acquisition techniques. Here we propose an
extension of our previously demonstrated diffusion simulation tractography
method to HARDI technique that has potentials to overcome these limitations and
thus provide more information about connectivity in the brain.
1438. Probabilistic
Fiber Tracking Using the Residual Bootstrap with Constrained Spherical
Deconvolution MRI
Ben Jeurissen1, Alexander Leemans2,
Jacques-Donald Tournier3,4, Jan Sijbers1
1Visionlab, Dept. of Physics, University
of Antwerp, Antwerp, Belgium; 2CUBRIC, School of Psychology, Cardiff
University, Cardiff, Wales, UK; 3Brain Research Institute, Florey
Neuroscience Institutes (Austin), Melbourne, Victoria, Australia; 4Dept.
of Medicine, University of Melbourne, Melbourne, Victoria, Australia
We present a new probabilistic tractography algorithm
based on constrained spherical deconvolution (CSD) of diffusion weighted (DW)
MRI and the residual bootstrap. Using simulations we show that the residual
bootstrap is an accurate method to characterize CSD fiber trajectory
uncertainty. As opposed to classic bootstrapping, the residual bootstrap only
requires a single DW acquisition, making it clinically feasible. We compare our
algorithm to state-of-the-art probabilistic diffusion tensor imaging (DTI)
tractography, using both simulated and real DW data. Our algorithm is shown to
be much less prone to fiber dispersion than probabilistic DTI tractography in
regions of multiple fiber orientations.
1439. Free-Spin
Tracking: A Novel Global Tractography Algorithm
Pierre Fillard1, Cyril Poupon1,
Jean-François Mangin1
1LNAO, CEA/DSV/I2BM/Neurospin,
Gif/Yvette, France
We propose a novel tractography algorithm able to handle
various fiber configurations like crossings. Fibers are modeled as chains of
unit elements called spins. Spins are allowed to move, merge with other spins,
and duplicate to form longer pieces of fibers. The entire white matter is
tracked at once, which allows pieces of fibers coming from the entire volume to
help find the optimal neuronal pathway in crossing regions. Experiments on two
realistic MR phantoms show that such approach is successful in reconstructing
fiber crossings and kissings, even using a simple diffusion model like the
tensor.
1440.
Model-Based
Streamline Rejection for Probabilistic Tractography
Jonathan D. Clayden1, Chris A. Clark1
1Institute of Child Health, University College London, London, England, UK
This work describes a method for rejecting false
positive pathways in probabilistic tractography based on a model of tract
shape. Unlike with region-of-interest methods, the rejection criterion is
probabilistic and based on the topology of the tract in each individual. In
contrast to thresholding approaches, the method is sensitive to the meaning of
the data and has no user-defined parameters. The common observation of
declining visitation count with distance from a seed point is also alleviated.
1441. Preliminary
Results on the Use of STAPLE for Evaluating DT-MRI Tractography in the Absence
of Ground Truth
Sonia Pujol1, Carl-Fredrik Westin2,
Ross Whitaker3, Guido Gerig3, Tom Fletcher3,
Vincent Magnotta4, Sylvain Bouix5, Ron Kikinis1,
William M. Wells III1, Randy Gollub6
1Surgical Planning Laboratory, Brigham
and Women's Hospital, Harvard Medical School, Boston, MA, USA; 2Laboratory
of Mathematics in Imaging, Brigham and Women's Hospital, Harvard Medical
School, Boston, MA; 3Scientific Computing and Imaging Institute,
University of Utah, Salt Lake City, UT; 4University of Iowa, Iowa
City, IA; 5Psychiatry Neuroimaging Laboratory, Boston, MA; 6Athinoula
A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital,
Boston, MA
We describe preliminary results obtained from a
framework for evaluating DT-MRI tractography algorithms that uses STAPLE
(Simultaneous Truth and Performance Level Estimation) to estimate the
performance of the methods in the absence of ground truth. In tests on a
mathematical phantom we show that STAPLE is able to characterize fiber tracking
performance by comparing its findings to true performance findings. We apply
the framework to four methods operating on four white matter fasciuli in real
data, and describe the results of this new approach for validating
tractography.
1442.
Whole-Brain
Track-Density Mapping as a Tool for Fiber Tractography
Fernando Calamante1,2, Jacques-Donald Tournier1,2,
Heath Pardoe1,2, Alan Connelly1,2
1Brain Research Institute, Florey
Neuroscience Institutes (Austin), Melbourne, Victoria, Australia; 2Department of Medicine, University of Melbourne, Melbourne, Victoria,
Australia
This study describes the use of whole-brain
track-density mapping as a complementary tool for tractography. In particular,
it is demonstrated to aid in definition of seed and target regions for
tractography (making that important step more robust), and to facilitate
normalization of fiber tracks for inter-subject comparisons. The maps are shown
to have very good anatomical contrast, high spatial resolution, high SNR and,
importantly, they are exactly in the same space (including distortions) as the
diffusion data. Whole-brain track-density maps should play an important role in
clinical and research studies.
1443. A
Global Approach to Diffusion Tensor Neighborhood Tractography
Paul A. Armitage1, Susana Munoz Maniega1,
Mark E. Bastin2
1Clinical Neurosciences, University of
Edinburgh, Edinburgh, City of Edinburgh, UK; 2Medical &
Radiological Sciences (Medical Physics), University of Edinburgh, Edinburgh,
City of Edinburgh, UK
Neighborhood tractography has been shown to be
beneficial for automating the extraction of white matter pathways in the brain.
However, present implementations are generally specific to local tractography
algorithms, such as those based on streamlining. Therefore, a neighborhood
tractography framework is developed suitable for use with global tractography
algorithms. When applied in conjunction with fast marching tractography, the
method improved the automatic extraction of connectivity maps for white matter
pathways of interest when compared to transposing seed points by registration
alone.
1444.
Spatial
Random Effects Modelling of Crossing Fibre Voxels in Diffusion MRI
Martin David King1, Chris Alan Clark1,
David Gadian1
1UCL Institute of Child Health, University College London, London, UK
A spatial random effects model has been used in the
analysis of multiple-directions diffusion-weighted MR data, focussing on the
crossing-fibre problem that arises in tractography. The analysis was performed
with the Markov chain Monte Carlo Gibbs sampler algorithm, using crossing fibre
low b-value (1000 s mm-1) 20 directions diffusion data acquired from the pons.
The results show that spatial random effects modelling, based on a conditional
autoregressive prior, provides well resolved components compared with those
obtained with an equivalent independent voxel-by-voxel treatment. We conclude
that the spatial random effects modelling approach provides a useful extension
to current tractography methods.
1445.
HYFF-HYbrid
Tractography with Fiber Assignment by Continuous Tracking and Fast Marching
Hao Huang1,2, Xin Fan1
1Advanced Imaging Research Center, UT
Southwestern Medical Center, Dallas, TX, USA; 2Department of
Radiology, UT Southwestern Medical Center, Dallas, TX, USA
Tractography based on diffusion tensor imaging (DTI)
provides an efficient and noninvasive means to reveal the morphology of white
matter tracts. Conventional streamline method such as FACT is known to have
limitation of tracing only single lines. Fast marching tractography (FMT)
allows fiber crossing and branching based on DTI, but is bound to
discretization errors. The proposed HYFF (HYbrid tractography with Fiber
assignment by continuous tracking and Fast marching) is a streamline method
which ensures correct directions of tracing by forcing the traced lines to go
downstream of the time field generated from FMT.
1446. Measuring
Error of Diffusion MRI-Based Brain Connectivity Matrices with Residual
Bootstrap
Christopher T. Nguyen1,2, Roland G. Henry2,3,
SungWon Chung2,3
1Bioengineering, University of California
Berkeley, Berkeley, CA, USA; 2Center for Molecular and Functional
Imaging, Department of Radiology and Biomedical Imaging, University of
California San Francisco, San Francisco, CA, USA; 3Graduate Group in
Bioengineering, University of California San Francisco and Berkeley, San
Francisco, CA, USA
Recently, noninvasive techniques using diffusion MRI
were used to construct in-vivo brain connectivity matrices and networks. While
exciting, the potential variability of these connectivity matrices is not known
and will depend on several factors including data acquisition and fiber
tracking algorithms. Using residual bootstrap, we propose a method to measure
the errors in whole brain connectivity matrices and present results based on a
deterministic fiber-tracking algorithm. The resulting matrix demonstrated high
variability in many of the pairs of ROIs especially in known crossing fiber
regions.
1447. Improved
Probabilistic Tractography Using Atlas-Based Fiber Tracking
Qing Xu1, Adam W. Anderson1, John
C. Gore1, Zhaohua Ding1
1Vanderbilt University Institute of
Imaging Science (VUIIS), Vanderbilt University, Nashville, TN, USA
A probabilistic fiber tracking algorithm generates a set
of fibers that reflect the distribution of underlying neuronal pathways by
processing the diffusion tensor images. As imaging artifacts such as random
noise and partial volume averaging usually render reconstructed fibers
unreliable, typically certain prior knowledge is used to regularize the fiber
tracking process. In this contribution, we propose a novel atlas based
probabilistic fiber tracking algorithm that incorporates prior knowledge from a
white matter fiber atlas, thereby eliminating the need for the commonly used
heuristic priors.Preliminary experiments demonstrate that the atlas-guided
method improves probabilistic tractography over methods with heuristic priors.
1448.
Automated
Registration, Segmentation and Labeling of White Matter Fiber Tracts
Qing Xu1, Adam W. Anderson1, John
C. Gore1, Zhaohua Ding1
1Vanderbilt University Institute of
Imaging Science (VUIIS), Vanderbilt University, Nashville, TN, USA
Brain white Matter (WM) fibers are widely reconstructed
by using magnetic resonance diffusion tensor imaging (DTI). A fiber-to-bundle
registration algorithm is proposed to coregister a whole-brain target fiber set
with an already reconstructed reference bundle set. Using the resulting
transformation, the fibers from different target datasets can all be warped
into the reference space for comparison and group analysis. Moreover, their
bundle type can be automatically labeled. Experiments with eight human brain
DTIs have shown significant similarity of the reference with the
post-registered target bundles, and also high consistency of the resulting
bundles with a manually segmented ground truth. |
|
Methods & Applications in Healthy Subjects |
Exhibit Hall 2-3
Tuesday 13:30-15:30 |
|
1449. Gender
Differences in White Matter Microstructure in the Adult Brain Revealed by Tract
Based Spatial Statistics.
Emer Judith Hughes1, David J. Sharp2,
Derek L.G Hill3, Alle Meije Wink4, Joseph V. Hajnal4,
Serena J. Counsell5
1Robert Steiner MRI Unit, Hammersmith
Hospital, Imperial College, London, England, UK; 2Cognitive
Neuroimaging Group, MRC Clinical sciences Centre, Imperial college, London,
England, UK; 3The London Bioscience Innovation Centre, IXICO ltd,
London, England; 4Hammersmith Hospital, Imperial College, Robert
Steiner MRI Unit, London, England, UK; 5Robert Steiner MRI Unit,
Hammersmith Hospital, Imperial college, London, England, UK
Diffusion tensor imaging studies (DTI) have found
evidence for sexual dimorphism in a number of white matter tracts, with males
having higher fractional anisotropy (FA) than females. The aim of this study
was to assess whole brain white matter, in a large study group, in order to
assess the extent of these microstructural differences using Tract Based
Spatial Statistics (TBSS). Our results demonstrated extensive regions in the
brain where the white matter microstructure differs between males and females,
including a number of regions that have not been previously reported.
1450.
Separate
Assessment of Diffusion Properties of NAA and NAAG at 7T
Hermien E. Kan1, Matthias J. P. van Osch1,
Maarten J. Versluis1, Aranee Techawiboonwong2, Mark A.
van Buchem1, Andrew J. Webb1, Itamar Ronen2
1Leiden University Medical Center,
Leiden, Netherlands; 2Department of Anatomy and Neurobiology, Boston
University School of Medicine, Boston, MA, USA
In diffusion weighted spectroscopy (DWS), the behaviour
of intra cellular metabolites can potentially give information on compartmentation,
in contrast to water for which measurements are not specific for any
compartment. In this work, we measure for the first time in humans the
different diffusive properties of N-Acetyl aspartate (NAA) and
N-Acetylaspartylglutamate (NAAG) by applying DWS at a field strength of 7T,
where there is sufficient spectral separation to perform this measurement
1451.
Separation
of Fiber Tracts Within the Human Cingulum Bundle Using Single-Shot STEAM DTI
with Partial Fourier Encoding and Parallel Imaging
Alexander Karaus1, Sabine Hofer1,
Jens Frahm1
1Biomedizinische NMR Forschungs GmbH, Goettingen, Germany
The purpose of this work was to present the cinglulum
bundle located above the corpus callosum. It consists of a complex white matter
fiber tract of the human brain that comprises long association fibers,
commissural fibers, and various U-fibers. The fiber tractography was achieved
by diffusion tensor imaging using a single-shot STEAM-sequence with 24 gradient
directions at 1.8 mm isotropic resolution. In order to map the full cingulum
bundle 41 oblique sections in AC-PC orientation were acquired without gaps in
an interleaved order.
1452. How
to Smooth Diffusion Tensor Images in a Voxel Based Analysis?
Wim Van Hecke1, Alexander Leemans2,
Steve De Backer1, Paul M. Parizel3, Jan Sijbers1
1University Antwerp, Antwerp, Belgium; 2CUBRIC,
University of Cardiff, Cardiff, Wales, UK; 3Radiology, Antwerp
University Hospital, Antwerp, Belgium
Many DTI studies are starting to use voxel based
analysis (VBA) to evaluate differences in the diffusion properties between
healthy diseased subjects. In this work, simulated DTI data sets with a
predefined pathology are used to evaluate the sensitivity and specificity of the
pathology detection comparing isotropic and anisotropic smoothing kernels with
different full width at half maximum. We demonstrate that the use of
anisotropic kernels can increase the sensitivity and the specificity of
detecting a pathology in a VBA. We therefore suggest to apply an anisotropic
smoothing method in DTI group studies to increase SNR while preserving WM
boundaries.
1453. Diffusion
Tensor Invariants and Principal Eigenvector Coherence Changes with Field
Strength at Various b-Value Ranges
Ai Wern Chung1, Martin D. King1,
David L. Thomas2, Roger J. Ordidge2, Chris A. Clark1
1Radiology & Physics Unit, UCL,
Institute of Child Health, London, UK; 2Department of Medical
Physics, UCL, Wellcome Trust High Field MR Research Laboratory, London, UK
Our aim is to assess the effect of magnetic field
strength on diffusion tensor invariants, including principal eigenvector
coherence, over b-values 0 to 3000 s mm-2 in healthy
subjects. We found a significant increase in FA at 3.0 T versus 1.5 T for all b-values
tested in white matter, with overall FA decreasing at high b. Field
strength was found to be a significant main effect on the accompanying
principal eigenvector coherence, also exhibiting a decreasing trend with
increasing b. In summary, the improvement of SNR with field strength saw
significant increase in white matter FA along with coherence.
1454.
Segmentation
and Characterisation of White Matter Tracts in Late Childhood and Adolescence
Jonathan D. Clayden1, Catherine J. Riney1,
Janine Cooper1, Monica Muñoz1, Chris A. Clark1
1Institute of Child Health, University College London, London, England, UK
This work describes the application of the
recently-developed probabilistic neighbourhood tractography (PNT) method to
data acquired from subjects in late childhood or adolescence. Using this
method, we segmented a number of white matter tracts in each subject's data,
and investigated the effects of age and gender on diffusion parameters. We
found clear differences between the tracts, and we demonstrate some evidence
for a lateralisation effect which is at least partly modulated by gender.
1455. Micro-Architectural
Features of the in Vivo Human Optic Chiasm
Joelle E. Sarlls1, Carlo Pierpaoli1
1NICHD, National Institutes of Health, Bethesda, MD, USA
Diffusion tensor images were acquired at sub-millimeter
resolution, in-vivo, in the oblique plane of the optic nerves/chiasm/tracts.
Acquiring data at sub-millimeter resolution dramatically reduces partial volume
effects, allowing quantitative measures of the optic chiasm without CSF
contamination and increased fiber coherence. In addition to the commonly
calculated parameters of diffusion, measures of the diffusion ellipsoid’s shape
were also calculated. We observe that there are not only architectural
differences in the crossing and uncrossed fibers of the medial and latteral
optic chiasm, but that the trajectory of crossing fibers may depend on their
dorsal/ventral location in the chiasm as well.
1456.
Stability
of Diffusion Direction Based Thalamus Segmentation
Sarah C. Mang1, Uwe Klose1, Susanne
Reiterer1,2, Wolfgang Grodd1
1Section Exp. MRI of CNS, Diagnostic and
Interventional Neuroradiology, Tübingen, Germany; 2Hertie Institute
for Clinical Brain Research, General Neurology, University of Tübingen,
Tübingen, Germany
A simple diffusion direction based segmentation method
was used to distinguish thalamic sub-structures on 53 healthy volunteers. This
segmentation method classifies voxels according to the orientation of their
principal diffusion direction. The results of this simple segmentation method
were stable in the evaluated subject population. Our segmented clusters did in
addition show a correspondence to the clusters segmented with a more
complicated connectivity based segmentation approach.
1457. Detection
of Motor Thalamus by Probabilistic Diffusion Density : Verification by Motor
BOLD-Based FMRI
Tzu-chen Yeh1, Zong-Kai Hsu2,
Sue-Jin Lin2, Chou-Ming Cheng1, Jen-Chuen Hsieh2,
Low-Tone Ho1
1Department of Medical Research and
Education, Taipei Veterans General Hospital, Taipei, Taiwan, Taiwan; 2Institute
of Brain Science, National Yang-Ming University, Taipei, Taiwan, Taiwan
Structural MRI and functional MR data with motor task of
right index were obtained from fourteen normal subjects. Thalamal parcellation
by probabilistic diffusion density tractography (PDD) was performed with two
protocols. Protocol I applied the Brodmann areas 1-6 as targets in normalized
space. And protocol II used the central correlates of motor fMRI as target. Two
similarity indices of thalamus parcellation were calculated as SI(BA1-6) =
0.56and SI(motor-fMRI) = 0.96 regarding to protocol I and II, respectively. We
concluded the PDD-based parcellation of motor thalamus can be validated by
using the fMRI of a simple motor task.
1458.
Mapping
the Human Connectome at Multiple Scales with Diffusion Spectrum MRI
Leila Cammoun1, Xavier Gigandet1,
Olaf Sporns2, Jean-Philippe Thiran1, Kim Q. Do3,
Philippe Maeder4, Reto Meuli4, Patric Hagmann1,4
1Signal Processing Laboratory 5, Ecole
Polytechnique Fédérale de Lausanne, Lausanne, VD, Switzerland; 2Department
of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA; 3Center
of Psychiatric Neuroscience, University Hospital Center and University of
Lausanne (CHUV), Lausanne, VD, Switzerland; 4Department of
Radiology, University Hospital Center and University of Lausanne (CHUV),
Lausanne, VD, Switzerland
We propose to map the human connectome by constructing
normalized whole-brain structural connection matrices derived from diffusion
spectrum MRI tractography at 5 different scales. These connection matrices are
then examined across scales for several important network characteristics. We
show that key network measures can be robustly estimated across multiple scales
with results that are consistent with previous single-scale investigations. In
particular, we confirm that cortical networks exhibit exponential distributions
of node degree and fiber densities, robust small world characteristics, as well
as consistent estimates for node centrality at all scales examined.
1459. Cingulum
Bundle Asymmetry Predicts Trait Neuroticism: A DTI Study
Kathrine Skak Madsen1,2, Terry L. Jernigan1,2,
Arnold Skimminge1,3, Erik Lykke Mortensen2,4, Gitte M.
Knudsen2,5, William F.C. Baaré1,2
1Danish Research Center for Magnetic
Resonance, Copenhagen University Hospital, Hvidovre, Copenhagen, Denmark; 2Center
for Integrated Molecular Brain Imaging, Copenhagen, Denmark; 3DTU
Informatics, Technical University of Denmark, Lyngby, Denmark; 4Department
of Health Psychology, University of Copenhagen, Copenhagen, Denmark; 5Neurobiology
Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen,
Denmark
Amygdala and subgenual cingulate are linked to anxiety
and mood disorders, for which the trait neuroticism is a risk factor. Left and
right subgenual cingulate functional imbalances may contribute to behavioural
and physical symptoms observed in depression. We investigated associations
between neuroticism and cingulum FA in 45 healthy adults. DWI images were
processed with TBSS to align main fibre tracts and ROIs were drawn in right and
left cingulum. As hypothesized, cingulum FA laterality index (asymmetry)
significantly predicted neuroticism. It is unclear whether cingulum FA
asymmetry is a possible marker of increased risk of developing anxiety and mood
disorders.
1460.
High
Resolution Diffusion-Weighted Imaging Showing Radial Anisotropy in the Human
Cortex in Vivo
Robin Martin Heidemann1, Alfred Anwander1,
Thomas R. Knösche1, Thorsten Feiweier2, Fabrizio Fasano3,4,
Josef Pfeuffer5, Robert Turner1
1Max Planck Institute for Human Cognitive
and Brain Sciences, Leipzig, Germany; 2Siemens Healthcare Sector,
Erlangen, Germany; 3Fondazione Santa Lucia, Rome, Italy; 4Siemens
Medical Solutions, Milano, Italy; 5Siemens Medical Solutions,
Charlestown, MA, USA
High resolution diffusion-weighted imaging is affected
by blurring due to T2* relaxation and geometrical distortions due to
off-resonance effects. A combination of a zoomed approach and parallel imaging
enables one to achieve high acceleration factors which are essential to obtain
high resolution diffusion–weighted images with minimal distortions. With the
achieved image quality and an in plane resolution of 1 mm x 1 mm it is possible
to show the radial anisotropy of the human cortex in vivo.
1461.
Gender
Differences in Correlations of Regional White Matter Integrity with
Intelligence Factor Scores
Johnny Ng1, CheukYing Tang1,2,
Emily Eaves1, Isabella Kanellopoulou2, Xinsu Mai1,
David Carpenter1, David Schroeder3, Roberto Colom4,
Richard J. Haire3,5
1Radiology, Mount Sinai School of
Medicine, New York, NY, USA; 2Psychiatry, Mount Sinai School of
Medicine, New York, NY, USA; 3Johnson O'Connor Research Foundation,
Chicago, IL, USA; 4Universidad Autónoma de Madrid (UAM), Spain; 5School
of Medicine, UC Irvine, Irvine, CA, USA
We studied correlations between regional white matter
integrity, using DTI with a Siemens 3T Allegra, and intelligence factor scores
with gender effect in 40 control subjects. Fractional anisotropy (FA) and
directional color maps were computed using in-house software. Region of
Interests were defined on color-coded maps. FA values were extracted and merged
with intelligence factor scores for correlation analysis. Significant positive
and negative correlations were detected. These findings were consistent with a
recent report on DTI/IQ correlations on subjects 5-18 where correlations were
negative in males and positive in females as they aged. Our results confirmed
these findings into adulthood.
1462.
Diffusion
Tensor Imaging at 7T: Expectations Vs. Reality Check
Oliver Speck1, Kai Zhong1
1Biomedical Magnetic Resonance, Otto-von-Guericke University, Magdeburg, Germany
In addition to strong T2 weighting, diffusion encoding
reduces the signal significantly to encode the direction information.
Therefore, DTI is notoriously SNR hungry and the use of very high field
strength has been proposed to increase sensitivity. Despite the introduction of
7T, it is still not clear if 7T results in data quality improvement. The SNR
gain in DTI measurements at 7T is estimated based on realistic tissue and
imaging parameters. Large volume coverage DTI data have been acquired at 3T and
at 7T and were compared. With current whole body gradients diffusion imaging at
7T is not superior to 3T. |
|
Perfusion & Permeability: DSC-MRI |
Exhibit Hall 2-3
Wednesday 13:30-15:30 |
|
1463.
Defining
Arterial Input Function (AIF) in DSC-MRI: From Global to Local
Qing Ji1, John O. Glass1, Wilburm
E. Reddick1
1Radiological Science, St.Jude Children's
Research Hospital, Memphis, TN, USA
We propose a novel method to automatically extract local
AIF from T2* weighted perfusion MRI. The local AIF was modeled as the
convolution of a global AIF with a vascular transport function and incorporated
into a pharmacokinetic model to fit the concentration-time course of the image
voxels. We examined ten DSC perfusion MRIs from pediatric brain tumor patients
and report initial results demonstrating that the proposed method can fit most
voxels well and reconstructed local AIF maps not only show the time delay and
dispersion of local vascular features, but also the typical cerebral blood flow
pattern.
1464.
DSC-MR
Perfusion: Leave Tracer Recirculation Alone
Jayme Cameron Kosior1,2, Richard Frayne2
1Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada; 2Seaman Family MR Research Centre,
Foothills Medical Centre, Calgary, AB, Canada
A common misconception is that indicator dilution theory
cannot be used to derive perfusion parameters such as cerebral blood flow (CBF)
and cerebral blood volume (CBV) if tracer recirculation is present in dynamic
susceptibility contrast MR perfusion data. Here, we show that it is unnecessary
to remove tracer recirculation from DSC-MR data in order to derive perfusion
parameters.
1465.
Improved
Assessment of Regional Cerebral Blood Flow by Dynamic Susceptibility Contrast
MRI Using a Kernel-Based Deconvolution Approach
Denis Peruzzo1, Gianluigi Pillonetto1,
Alessandra Bertoldo1, Claudio Cobelli1
1Department of Information Engineering, University of Padova, Padova, Italy
A deconvolution operation must be performed to obtain
the residue function (R(t)) in DSC-MRI images quantification. In this study, a
kernel based deconvolution approach is proposed and validated on both simulated
and clinical data. It tackles the problem in a fully Bayesian framework and
includes information on both R(t) continuity and on the system BIBO stability.
It has been shown to provide more physiological R(t) estimates and more
accurate CBF values than SVD and cSVD. Furthermore, not only is DNP insensitive
to the delay between the AIF and the C(t), but it can also estimate it.
1466. Can
a Human Operator Be Replaced by a Computer for Processing of Bolus-Tracking
Perfusion Data?
Matus Straka1, Michael Mlynash2,
Greg Zaharchuk1, Gregory W. Albers2, Roland Bammer1
1Lucas Center, Department of Radiology,
Stanford University, Stanford, CA, USA; 2Stroke Center, Department
of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
Bolus-tracking DSC-MRI PWI is an important technique in
acute stroke, but its use in clinical routine is hampered by need of manual
processing. We have developed a fully automated system aimed on perfusion
processing. A key part of the system is the automated selection of AIF and VOF
signals in the data. In this study, we compared manual and automatic selections
on 30 cases with focus on noisy data and data with motion. The results indicate
high success (>90%) rate of the system on various bolus-tracking datasets
and allow usage of such algorithm in clinical routine.
1467. Estimation
of CBF Values Using Multi-Echo DSC-MRI: a Comparison with a Xenon CT
Matus Straka1, Greg Zaharchuk1,
Rexford David Newbould2, Gregory W. Albers3, Michael E.
Moseley1, Roland Bammer1
1Lucas Center, Department of Radiology,
Stanford University, Stanford, CA, USA; 2GlaxoSmithKline, London,
UK; 3Stroke Center, Department of Neurology and Neurological
Sciences, Stanford University, Stanford, CA, USA
Standard PWI acquisitions using single-echo EPI suffer
from various errors (e.g. vascular signal clipping and counfound determination
of quantitative perfusion values). Advanced acquisition schemes (e.g. PERMEATE)
as well as corrections for partial volume effect and susceptibility effect of
tracers in bulk blood were proposed to mitigate the problems. In this study, we
have compared CBF perfusion maps computed from multi-echo parallel EPI
sequences with values from XeCT CBF maps. We conclude that multi-echo
acquisition contribute to better estimates of the quantitative parameter, but
the improved acquisition opened a whole new set of challenges that were
important before.
1468. Limitations
of a Multiplicative Correction of Partial Volume Effects on the Arterial Input
Function in Bolus-Tracking Perfusion
Adam Espe Hansen1, Henrik Pedersen1,
Egill Rostrup1, Henrik BW Larsson1
1Functional Imaging Unit, Glostrup Hospital, Glostrup, Denmark
The partial volume effect (PVE) on the arterial input
function (AIF) remains a major obstacle to absolute quantification of cerebral
blood flow (CBF) using MRI. This study evaluates the validity and performance
of a commonly used multiplicative rescaling of the AIF to correct for the PVE.
In a group of six patients, perfusion imaging was performed using a T1-weighted
approach. Various degrees of PVE were induced on the AIF and subsequently
corrected using a multiplicative AIF rescaling. Our results show that a
multiplicative rescaling is not always applicable and can introduce a CBF bias.
An easily measurable quantity denoted the tissue signal fraction (TSF) is proposed
as a measure of the applicability of a multiplicative rescaling. For the
present CBF quantification method a TSF of less than 0.4 results in a CBF bias
below 15% after AIF rescaling.
1469.
Dynamic
Susceptibility MRI with a Pre-Bolus Administration Design for Improved Absolute
Quantification of Perfusion
Linda Knutsson1, Anna Rydhög1,
Danielle van Westen2, Stig Holtås2, Freddy Ståhlberg2,3,
Ronnie Wirestam1
1Department of Medical Radiation Physics,
Lund University, Lund, Sweden; 2Department of Diagnostic Radiology,
Lund University, Lund, Sweden; 3Department of Medical Radiation
Physics, Lund University , Lund, Sweden
Reproducible absolute quantification of cerebral blood
volume (CBV) and cerebral blood flow (CBF) by dynamic susceptibility contrast
MRI (DSC-MRI) is difficult to achieve, for example, due to partial-volume
effects (PVEs). The purpose of this study was to correct for arterial PVEs by
rescaling the AIF using a VOF obtained by injecting a fraction of the
contrast-agent dose as a pre-bolus. During the pre-bolus passage, a segmented
EPI sequence in single-slice mode was used to register the VOF in the superior
sagittal sinus. Our results showed that our proposed correction method removed
a substantial amount of arterial PVEs.
1470. Estimation
of Perfusion and Other Vascular Parameters from First Part of Bolus Passage
Lars G. Hanson1, Henrik Lund1,
Irene K. Mikkelsen2
1Danish Research Centre for MR, dept.
340, Copenhagen University Hospital, Hvidovre, Denmark; 2Centre for
Functionally Integrative Neuroscience, Århus University Hospital, Århus,
Denmark
Vascular properties can be derived from dynamic measures
of the
1471. Dose
Optimization for Combined Perfusion Weighed Imaging and Contrast Enhanced MRA
Using Gadofosveset
Erik Søndergaard Poulsen1, Aage Kristian Olsen2,
Dora Zeidler1, Niels Hjort1, Leif Østergaard1
1Center of Functionally Integrative
Neuroscience (CFIN), University of Aarhus, Aarhus, Denmark; 2PET-center,
Aarhus University Hospital, Denmark
We optimized the dose of novel Gd-based, intravascular
contrast agent gadofosveset trisodium (Vasovist®, Bayer Schering Pharma.
Berlin, Germany) for dynamic susceptibility contrast (DSC) MRI in the brain. In
40 kg anesthetized pigs, a dose of 0.0916 mmol/kg was shown to generate a
similar signal drop as a standard 0.1 mmol/kg Gd-chelate (Gadovist 1.0®, Bayer
Schering Pharma. Berlin, Germany) while generating good CNR on steady state
MRA.
1472.
Quantification
of Vessel Permeability by Modeling Contrast Agent Extravasation in Dynamic
Susceptibility Contrast MRI of Brain Tumors
Yi-Ying Wu1, Wei-Shan Yang2,3,
Yuan-Yu Hsu4, Ho-Ling Liu2,5
1Institute of Medical Physics and Imaging
Science, Chang Gung University, Kwei-Shan , Tao-Yuan, Taiwan; 2Institute
of Medical Physics and Imaging Science, Chang Gung University, Kwei-Shan,
Tao-Yuan, Taiwan; 3Department of Radiology, Cheng Hsin
Rehabilitation Medical Center, Taipei, Taiwan; 4Department of
Medical Imaging, Buddhist Tzu Chi General Hospital, Taipei, Taiwan; 5MRI
Center, Chang Gung Memorial Hospital, Tao-Yuan, Taiwan
Disruption of BBB in brain tumors can cause errors in
perfusion measurements using DSC MRI. This study proposed a model that takes
both T1 and T2 effect of the contrast extravasations into account and at the
same time incorporates the parameter of permeability-surface-area-product (PS).
This model was applied in three DSC datasets of brain tumors at 3T. The
resultant PS ranged from 0.28 to 0.74 min-1 in tumors, which was greater than
in normal tissues. Tumor/white matter blood volume ratios were corrected
(3.5-7.4 before and 1.6-4.4 after correction) by fitting DSC time curves to the
proposed model.
1473. Quantitative
OEF Determination in Tumor Patients Using Additional DSC Measurements
Moritz Mie1, Maja Sohlin2, Johann
Scharf3, Lothar Rudi Schad4
1Computer Assisted Clinical Medicine,
Faculty of Medicine Mannheim,, University of Heidelberg, Mannheim, Germany; 2Medical
Physics in Radiology, DKFZ, Heidelberg, Germany; 3Department of
Neuroradiology, University Hospital, Mannheim, Germany; 4Computer
Assisted Clinical Medicine, Faculty of Medicine Mannheim, University of
Heidelberg, Mannheim, Germany
Tissue oxygenation is a very important factor in the
field of neuroradiology. With the assistance of the oxygen extraction fraction
(OEF) an estimation of tissue viability should be possible. In this work, we
improved the present technique by using an additional independent dynamic
susceptibility contrast (DSC) measurement that directly gives the amount of
cerebral blood volume (CBV) which is an important parameter for stabilizing the
OEF calculation. With this technique a difference in OEF between a healthy
brain area and a tumorous one is observed.
1474.
Normative
Blood Flow Values in the Posterior Fossa Using Quantitative Spin-Echo DSC
Perfusion MRI
Jessy J. Mouannes1, Anahita Aghaei-Lasboo2,
Amir H. Yassari3, Anindya Sen2, Aaron Skolnik3,
Shahram Rahimi2, Timothy J. Carroll2,4, Bernard R. Bendok5,
Matthew T. Walker2, Sandra W. Horowitz2, Ali Shaibani2
1Biomedical Engineering, Northwestern
University , Chicago, IL, USA; 2Radiology, Northwestern University,
Chicago, IL, USA; 3Feinberg School of Medicine, Northwestern
University, Chicago, IL, USA; 4Biomedical Engineering, Northwestern
University, Chicago, IL, USA; 5Neurological Surgery, Northwestern
University, Chicago, IL, USA
The interest in cerebral perfusion imaging has increased
in recent years, with the aim of accurately detecting brain tissue at risk of
infarction. These efforts have resulted in the establishment of normal values
for cerebral blood flow (CBF), cerebral blood volume (CBV), and mean transit
time (MTT), for the supratentorial section of the brain. However, without a
quantitative understanding of normal flow values in the posterior fossa, it is
difficult to make judgments on issues such as cerebrovascular reserve or
chronic ischemia. Therefore, we have evaluated normative “quantitative”
perfusion values for the posterior fossa in adults using the Bookend technique.
1475.
Dynamic
Contrast Enhanced Whole Brain Perfusion Using a Rapid 3D T1-Weighted
Sequence at 7T
Paul S. Morgan1,2, Emma C. Tallantyre3,
Ali Al-Radaidah3, Jennifer E. Dixon4, Matthew J. Brookes4,
Nikos Evangelou3, Peter G. Morris4
1Radiology & Radiological Sciences,
Medical University of South Carolina, Charleston, SC, USA; 2Academic
Radiology, University of Nottingham, Nottingham, UK; 3Clinical Neurology,
University of Nottingham, Nottingham, UK; 4Sir Peter Mansfield MR
Centre, University of Nottingham, Nottingham, UK
7T has shown potential in imaging the human brain. We
investigated the feasibility of acquiring whole brain perfusion data during administration
of a bolus of gadolinium-based contrast agent at 7T using a 3D T1-weighted
technique previously demonstrated at lower field. Successful data were acquired
on three patients with multiple sclerosis, yielding perfusion values for white
and gray matter in the range obtained by other perfusion studies, indicating
that this technique may be performed successfully at 7T.
1476. Quantitative
Cerebral Perfusion in Rodents Assisted by Susceptibility Weighted Imaging
Rui Liu1, Renjie He2, Kurt H.
Bockhorst2, Venkata K. Mogatadakala2, Ponnada A. Narayana2
1Department of Electrical and Computer
Engineering, University of Houston, houston, TX, USA; 2Department of
Diagnostic and Interventional Imaging, University of Texas Medical School at
Houston, Houston, TX, USA
Synopsis: A method for accurate determination of the
perfusion parameters based on dynamic susceptibility contrast MRI is proposed
and applied to determine the hemodynamic parameters in a rat brain. Our
algorithm is based on the singular valued decomposition (SVD) technique. In
addition, we registered SWI images with gradient-echo EPI images to identify
and exclude venous structures for improved estimation of hemodynamic
parameters. The hemodynamic parameters calculated using our procedure agrees
with those determined using the microsphere technique, considered to be the
“gold standard”.
1477. Gas-Filled
Microbubbles as Intravascular Susceptibility Contrast Agent for Brain MRI
Jerry S. Cheung1,2, April M. Chow1,2,
Ed X. Wu1,2
1Laboratory of Biomedical Imaging and
Signal Processing, The University of Hong Kong, Hong Kong SAR, China; 2Department
of Electrical and Electronic Engineering, The University of Hong Kong, Hong
Kong SAR, China
Gas-filled microbubbles have the potential to become a
unique MR contrast agent due to their magnetic susceptibility effect,
biocompatibility and localized manipulation via ultrasound cavitation. In this
study, custom-made albumin-coated microbubbles and a commercially available
lipid-based clinical ultrasound contrast agent SonoVue® were investigated with
in vivo dynamic brain MRI in Sprague-Dawley rats at 7 Tesla. The results
indicate that microbubbles can serve as an intravascular contrast agent for
brain MRI at high field. Such microbubble MRI has the potential to provide
real-time MRI guidance in various microbubble-based drug delivery and
therapeutic applications.
1478. Detection
of Pulmonary Embolism with Hyperpolarized 3He MRI: A Comparison of PO2-Based
and Susceptibility-Based Techniques
Michelle E. Law1, Jiangsheng Yu1,
Stephen Kadlecek1, Kiarash Emami1, Masaru Ishii2,
John MacDuffie-Woodburn1, Matthew Stetz1, Rahim R. Rizi1
1Radiology, University of Pennsylvania,
Philadelphia, PA, USA; 2Department of Otolaryngology, Head and Neck
Surgery, Johns Hopkins University, Baltimore, MD, USA
Hyperpolarized 3He MRI has been applied to diagnosis
pulmonary emboli. In this work, we present a comparison of pO2-based and
susceptibility-based hyperpolarized 3He MRI techniques for the detection of
pulmonary emboli in a pig model. The experiment results show that the pO2-based
technique is more sensitive than the susceptibility-based technique. |
|
Perfusion & Permeability: DCE-MRI |
Exhibit Hall 2-3
Thursday 13:30-15:30 |
|
1479. An
Automated Method for Determination of Arterial Input and Venous Output Function
Using Perfusion Parametric Joint Histogram Analysis
Hiroyuki Kabasawa1, Tetsuji Tsukamoto1
1Japan Applied Science Laboratory, GE
Yokogawa Medical Systems, Hino-shi, Tokyo, Japan
The automated arterial input and venous output function
(AIF and VOF) is crucial to improve stroke diagnosis workflow and to reduce the
variation of perfusion analysis result. The quality of AIF and VOF is also
critical for perfusion quantification. We have developed the automated AIF/VOF
detection algorithm based on the perfusion parametric joint histogram analysis.
We showed that the VOF detection accuracy was significantly improved, by adding
the averaged tracer concentration after bolus passages information into the
joint histogram analysis.
1480. Intravascular
Water Molecule Lifetime in the Japanese Macaque Brain
Jeffrey Moses Njus1, James R. Pollaro1,
Mathew T. Snodgrass1, John Cunneen1, Ethan Muldoon1,
Vincent B. Warren2, Xin Li1, Charles S. Springer1,
Steven G. Kohama2, William D. Rooney1
1Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA; 2Oregon National Primate Research Center, Beaverton, OR, USA
The purpose of this study was to investigate brain
intravascular water molecule lifetime estimation using a dynamic contrast
enhanced technique. MRI data were collected at 3T in the Japanese macaque.
Gadoteridol (Gd) was administered and whole-brain quantitative R1
maps were collected using a sparse pharmacokinetic temporal sampling scheme
during the contrast washout period. We compare intravascular water lifetimes
extracted with and without accounting for Gd extravasation during the time
series.
1481. Simultaneous
Imaging of Absolute CBF Change and BOLD with Saturation-Recovery-T1 MRI
Approach Under Ischemia and Hypercapnia
Xiao Wang1, Xiao hong Zhu1, Yi
Zhang1, Wei Chen1
1Center for Magnetic Resonance Research,
Department of Radiology, University of Minnesota, Minneapolis, MN, USA
Apparent T1 is sensitive to cerebral perfusion, thus,
CBF can be imaged by MR-based arterial spin labeling techniques. In this study,
we proposed an alternative approach based on the saturation-recovery T1 imaging
method for simultaneously measuring absolute CBF change (∆CBF) and
BOLD. This perfusion approach was validated by examining the relationship
between the simultaneously-measured ƒ´CBF using the MRI approach and relative
percent CBF change using LDF in the rat brain under ischemia and hypercapnia
conditions. The results suggest that the measured change in apparent T1 was
tightly correlated to the absolute CBF increase during hypercapnia and decrease
during ischemia. This perfusion approach, thus, should provide a useful, robust
MRI tool for noninvasively imaging absolute CBF change and BOLD associated with
brain physiology, function and viability.
1482. Rapid
and Direct Quantification of Longitudinal Relaxation Time (T1) in Look-Locker
Sequences Using an Adaptive Neural Network
Hassan Bagher-Ebadian1,2, Ramesh Paudyal1,2,
Tom Mikkelsen3, Quan Jiang1, James Russel Ewing1,2
1Neurology, Henry Ford Hospital, Detroit,
MI, USA; 2Physics, Oakland University, Rochester, MI, USA; 3Neurosergery,
Henry Ford Hospital, Detroit, MI, USA
In this study an adaptive neural network is employed for
direct estimation of longitudinal relaxation time (T1) in Look-Locker signals.
It is hypothesized that, given a signal generated by a LL model, an ANN could
be trained to directly estimate T1. The analytical equation of the Look-Locker
signal was considered as the gold standard of training and a set of LL signals
for a wide range of T1’s were generated. For each T1 value LL signal inputs
were generated by varying the other independent parameters in the synthetic
model of signal (T2*, M0 etc).
1483. Accuracy
of Cerebral Blood Flow Measurements in Accelerated Dynamic Contrast Enhanced
MRI Using k-T SENSE
Henrik Pedersen1, Adam Espe Hansen1,
Henrik B.W. Larsson1
1Functional Imaging Unit, Glostrup Hospital, Glostrup, Denmark
Dynamic contrast enhanced (DCE) MRI represents an
attractive technique for quantifying cerebral blood flow (CBF). However, the
inherent slow nature of DCE-MRI currently prohibits whole-head imaging of CBF.
This study investigates how different degrees of data reduction obtained with
k-t SENSE influence CBF measurements in the brain. The results suggest that the
optimum combination of training data size and acceleration factor is 11
training profiles and 8x acceleration, resulting in a net acceleration factor
of 4.6. In practise, this allows increasing the spatial coverage of DCE-MRI
from 4 slices with SENSE to 10 slices with k-t SENSE.
1484.
Dynamic
Contrast Enhanced (DCE) MRI Metrices as a Predictor of Response in Head and
Neck Cancers
Sushma Agrawal1, Rishi Awasthi2,
Anup Singh3, Ram Kishore Singh Rathore3, Rakesh Kumar
Gupta2
1Department of Radiotherapy, Sanjay
Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh,
India; 2Department of Radiodiagnosis, Sanjay Gandhi Postgraduate
Institute of Medical Sciences, Lucknow, Uttar Pradesh, India; 3Department
of Mathematics and statistics, Indian institute of technology, Kanpur, Uttar
Pradesh, India
DCE imaging prior to radiotherapy and three months of
completion of radiotherapy were performed in 21 patients of locally advanced
head and neck cancers.The DCE MRI parameters in terms of tissue blood flow
(TBF), tissue blood volume (TBV), corrected TBV, bolus arrival time (BAT) and b
were correlated with T, N, stage group of the patient and with response to
treatment. TBF, TBV and corrected TBV were higher for higher T stage, but not
for N stage, and overall stage group .These parameters were higher for complete
responders than partial responders at both primary and nodes. Our study
reflects TBF and TBV as predictors of outcome in head and neck cancer patients
but needs validation in more patients to get a more robust conclusion
1485. Concurrent
Measurement of Brain Perfusion, Blood Volume and Blood Brain Barrier
Permeability Using Dynamic Contrast Enhanced T1 -Weighted MRI
Henrik BW Larsson1, Frederic Courivaud2,
Egill Rostrup1, Adam Espe Hansen1
1Functional Imaging Unit, Glostrup Hospital, Glostrup, Denmark; 2The Interventional Centre, Rikshospitalet, Oslo, Norway
The measurement of brain perfusion (CBF) and cerebral
blood volume (CBV) is important when diagnosing and treating vascular,
degenerative and neoplastic diseases. These diseases are often associated with
an increase of blood brain barrier (BBB) permeability. Despite the widespread
use of MR perfusion imaging based on bolus tracking a concurrent estimation of CBF,
CBV and permeability has proved difficult to achieve. The present study shows
that brain perfusion, brain blood volume and blood brain barrier permeability
can be obtained concurrently from dynamic contrast enhanced T1
-weighted perfusion imaging. Perfusion was estimated by Tikhonov’s
deconvolution method and blood volume and permeability were estimated by using
Patlak’s method in 10 patients with brain tumors. The results point to the
importance of considering the effect of BBB leakage on the CBV estimation.
1486. Enhancement
of Gas-Filled Microbubble Magnetic Susceptibility by Iron Oxide Nanoparticles
April M. Chow1,2, Jerry S. Cheung1,2,
Ed X. Wu1,2
1Laboratory of Biomedical Imaging and
Signal Processing, The University of Hong Kong, Hong Kong SAR, China; 2Department
of Electrical and Electronic Engineering, The University of Hong Kong, Hong
Kong SAR, China
Gas-filled microbubbles possess the ability to be an MR
susceptibility contrast agent due to the induction of large local magnetic
susceptibility differences by the gas-liquid interface. However, microbubble
susceptibility effect is relatively weak when compared with other intravascular
MR susceptibility contrast agents. In this study, we demonstrated that
microbubble susceptibility effects can be improved by embedding and entrapping
iron oxide nanoparticles, and hence microbubbles can be monitored with high
sensitivity and low concentrations under MRI.
1487.
Single-Shot
Look Locker T1 Mapping with Golden Angle Radial Sampling for Free-Breathing
Liver DCE-MRI in Rats at 1.5 T
Andreas Steingoetter1, Jonas Svensson1,2,
Rickmer Braren3, Rene Botnar1,4, Stefanie Remmele5
1Department of Nuclear Medicine, Klinikum
rechts der Isar, Technische Universität München, Munich, Germany; 2Department
of Medical Radiation Physics, Malmoe University Hospital, Lund University
Malmoe, Malmoe, Sweden; 3Department of Radiology, Klinikum rechts
der Isar, Technische Universität München, Munich, Germany; 4Division
of Imaging Sciences, King’s College London School of Medicine, London, UK; 5Philips
Research Europe-Hamburg, Hamburg, Germany
A 2D single-shot Look-Locker T1 mapping technique
(LLRGC) applying golden angle radial sampling and dedicated contrast enhancing
k-space filter has recently been proposed for DCE-MRI studies. Here, we
evaluate this technique for non-triggered and free-breathing DCE-MRI
experiments in rats. T1 variability, flip angle dependency and motion
sensitivity were analyzed in-vitro and in-vivo. Modelling capability of
acquired concentration curves was confirmed by calculating Ktrans and ve.
Phantom T1 values match reference values and show no flip angle dependency. No
impairing motion artefacts are observed in images and T1 maps of rat abdomen.
Determined Ktrans and ve values correspond to literature values.
1488.
Developmental
Analysis of Placental Vascularization Using Dynamic Contrast- Enhanced MRI
Stav Sapoznik1, Vicki Plaks1, Elina
Berkovitz2, Rebecca Haffner-Krausz2, Michal Neeman1
1Biological Regulation, Weizmann
Institute of Science, Rehovot, Israel, Israel; 2Veterinary
Resources, Weizmann Institute of Science, Rehovot, Israel
The importance of the placental circulation has long
been recognized and is exemplified by the correlation of fetal weight with
placental size and blood flow. In the current study we applied macromolecular
contrast-enhanced MRI for in utero assessment of placental function along
pregnancy in mice. We were able to assess placental blood volume fraction, rate
of contrast material enhancement, placental volume and fetal length. We
evaluated normal placentas at different developmental stages, as well as strain
specific differences. Additionally, we studied placental function during fetal
resorption and the function of tetraploid placenta in complementation rescue of
genetically modified mice.
1489.
Factor
Analysis in Segmentation of 4D DCE-MRI Renal Studies
Borys Shuter1,2, Voreak Suybeng3,
David A. Stringer4, Marica Cutajar5, Thomas Dissing6,
Anni Eskild-Jensen7, Michael Pedersen8, Jørgen Frøkiær6,
Jens Christian Djurhuus6, Ashraf Kassim3, Shih-Chang Wang1,
Isky Gordon5
1Diagnostic Radiology, National
University of Singapore, Singapore, Singapore; 2Diagnostic Imaging,
National University Hospital, Singapore; 3Electrical and Computer
Engineering, National University of Singapore, Singapore; 4KK
Women's and Children's Hospital, Singapore; 5UCL Institute of Child
Health, London, UK; 6Institute of Clinical Medicine, University of
Aarhus, Denmark; 7Department of Nuclear Medicine, Aarhus University
Hospital, Denmark; 8Institute of Clinical Medicine, University of
Aarhus,, Denmark
Temporal information inherent in 4D DCE-MRI may be
utilised to segment anatomy of clinical interest. Factor analysis is shown to
be able to isolate renal compartments and other abdominal and thoracic organs
in clinical studies and a porcine model of renal obstruction.
1490.
DCE
MRI Pixel-By-Pixel Quantitive Curve Pattern Analysis (CPA)
Junyu Guo1, Wilburn E. Reddick1
1Radiological Sciences, St. Jude
Children's Research Hospital, memphis, TN, USA
A novel Curve Pattern Analysis (CPA) method is presented
for DCE-MRI data processing. The CPA method characterizes and quantifies the
DCE-MRI signal curves without prerequisites such as AIF and T1 measurement. The
simulations show that the CPA parameters are stable and approximately
insensitive to the baseline T1 value, TR and flip angle. In vivo study shows
that the CPA parameter &[kappa] is very sensitive to the curve pattern and
well correlated with the kinetic parameter kep. This method therefore could
have a higher repeatability by eliminating effects from some variation factors,
e.g. AIF and T1.
1491.
A
Precise Model for Arterial Input Functions of First Pass DCE-MRI
Jeiran Jahani1, Glyn Johnson2
1Bioimaging, New York University, New York,
USA; 2Bioimaging, New York University, New York, USA |
|
Diffusion-Perfusion Animal Studies |
Exhibit Hall 2-3
Monday 14:00-16:00 |
|
1492. Orthogonal
Diffusion Anisotropy Measurements in the Dorsal Third Ventricle of Adult Rat
Brain Reveal Cerebrospinal Fluid Flow
Laura Nieto-Charques1, Pilar López-Larrubia1,
Sebastián Cerdán1
1Instituto de Investigaciones Biomédicas
Alberto Sols CSIC-UAM, Madrid, Spain
Diffusion Weighted Magnetic Resonance Imaging (DW-MRI)
provides information on the microstructure of tissues and its changes. However,
the calculated ADC values may contain contributions from additional
translational motions or flow. To investigate this aspect we measured water ADC
in three orthogonal directions of the Dorsal Third Ventricle of rat brain
during a live-sacrifice and low-high b value paradigms. We found that CSF flow
through the head-feet direction of the D3V increased significantly the ADC
determined in this direction for both low and high b value sequences. An
isotropic diffusion pattern is found when impeding CSF flow by sacrificing the
animals.
1493. Deletion
of the Brain-Specific Link Protein BRAL-1 Facilitates Extracellular Diffusion
in the Mouse Corpus Callosum
Ivan Vorisek1,2, Lydia Vargova2,3,
Lesia Dmytrenko1, Yoko Bekku4, Toshitaka Oohashi4,
Eva Sykova1,2
1Department of Neuroscience, Institute of
Experimental Medicine, Academy of Sciences of the Czech Republic, v.v.i.,
Prague, Czech Republic; 2Center for Cell Therapy and Tisue Repair,
Charles University, 2nd Medical Faculty, Prague, Czech Republic; 3Department
of Neuroscience, Charles University, 2nd Medical Faculty, Prague, Czech
Republic; 4Department of Mollecular Biology and Biochemistry,
Okayama University Graduate School of Medicine and Dentistry, Okayama, Japan
Besides morphological techniques, the structure of the
nervous tissue may be revealed by the diffusion of substances in the
extracellular space (ECS). The efficacy of extrasynaptic transmission between
neurons and between neurons and glia is based on the diffusion of neuroactive
substances in the ECS and depends on the diffusion properties of the ECS. Our
previous studies revealed that changes in the extracellular matrix
substantially affect the diffusion properties of nervous tissue. In the present
study we examined three parameters describing the diffusion of molecules and neuroactive
substances in the cortex and corpus callosum of BRAL1 positive and negative
mice.
1494. In
Vivo Diffusion Tensor Magnetic Resonance Imaging and Fiber Tracking of the
Mouse Brain
Laura-Adela Harsan1, Dominik Paul1,
Susanne Schnell1, Bjorn W. Kreher1, Juergen Hennig1,
Jochen F. Staiger2, Dominik von Elverfeldt1
1Department of Diagnostic Radiology,
University Hospital Freiburg, Medical Physics, Freiburg, Germany; 2Department
of Neuroanatomy, Institute for Anatomy and Cell Biology, Center for
Neuroscience, Freiburg, Germany
In vivo DT-MRI and fiber tracking was used in the
present study to describe major white matter fiber tracts of the mouse brain
and also to identify for the first time non-invasively the rich connectivity
between the amygdala and different brain regions. Beside the standard fiber
tracking procedure we generated probability maps of connectivity with which it
was possible to investigate – in a statistical sense - all possible connecting
pathways between two seed points. We show here applications to determine the
connection probability between regions belonging to the visual or limbic
systems.
1495. Diffusion
Tensor Image Guided Histological Assessment of a Kainic Acid Rat Epilepsy Model
Ex Vivo Utilizing Tract-Based Spatial Statistics Analysis
Alejandra Sierra1, Kimmo Lehtimäki2,
Teemu Laitinen1, Jari Nissinen1, Asla Pitkänen1,3,
Olli Gröhn1
1Department of Neurobiology, A.I.
Virtanen Institute, University of Kuopio, Kuopio, Finland; 2Department
of Biotechnology and Molecular Medicine, A.I. Virtanen Institute, University of
Kuopio, Kuopio, Finland; 3Department of Neurology, Kuopio University
Hospital, Kuopio, Finland
Epilepsy is a challenging disease for imaging due to
heterogeneous, widespread and non-focal changes in the brain tissue. The
present study diffusion tensor imaging (DTI) and tract-based spatial statistics
(TBSS) analysis provides "anatomics" of the brain pathology during
experimental epileptogenesis, revealing areas involved in the epileptogenic
process in a kainic acid animal model. This technique has a great potential to
serve as a robust screening method to guide tedious histological analysis aimed
to reveal cellular alterations of neuronal pathways.
1496. MRI
Evaluation of Selective Disruption of the Blood-Brain Barrier by Photochemical
Internalization
Michelle Zhang1, Steen J. Madsen1,
Henry Hirschberg1,2, H Michael Gach3
1Health Physics, University of Nevada Las
Vegas, Las Vegas, NV, USA; 2Beckman Laser Institute, University of
California Irvine, Irvine, CA, USA; 3Research Imaging Facility,
Nevada Cancer Institute, Las Vegas, NV, USA
T2- and T1-weighted post-contrast MRI scans were
acquired at 7 T to evaluate blood brain barrier (BBB) disruption from
treatment-induced edema and contrast volumes. Photochemical internalization
(PCI) treatment, coupling the macromolecule Clostridium perfringens (Cl p)
epsilon prototoxin with AlPcS2a-photodynamic therapy (PDT), was performed on
non-tumor bearing inbred Fischer rats. The result of BBB disruption from PCI
was compared with a control group receiving PDT-only. PCI was found to be
highly effective for inducing selective and localized disruption of the BBB.
The extent of BBB opening peaked on day 3 and was completed restored by day 18
after PCI.
1497.
Crossing
Fibers in Lateral White Matter of the Cervical Spinal Cord Detected with
Diffusion MRI in Monkey Postmortem
Henrik Lundell1,2, Tim Dyrby1,
Maurice Ptito1,3, Jens Bo Nielsen4
1Danish Research Centre for Magnetic
Resonance, Copenhagen University Hospital, Copenhagen, Denmark; 2Department
of Exercise and Sport Sciences, University of Copenhagen, Copenhagen, France,
Denmark; 3School of Optometry, Univ Montreal, Montreal, QC, Canada; 4Department
of Exercise and Sport Sciences, University of Copenhagen, Copenhagen, Denmark
Mapping the white matter configuration of the spinal
cord is of interest for understanding superspinal contribution to the
generation of motion and coordination of muscles. Postmortem diffusion weighted
MRI is a potent technique to investigate the microstructure of neuronal tissue.
We have investigated fiber directions of the spinal cord in monkey using DT,
Q-ball and PAS. Crossing fiber structures in the corticospinal tract was found
using multi-fiber reconstruction techniques with good correlation to
histological findings of terminating fibers.
1498. Comparison
of Cerebral Blood Flow as Measured by Arterial Spin Labeling and Cerebral Blood
Volume as Measured by Micro-CT Imaging Over Regions of the Mouse Brain
Brige Paul Chugh1, Jason P. Lerch1,
Lisa X. Yu1, R Mark Henkelman1, John G. Sled1
1Toronto Centre for Phenogenomics, Mouse
Imaging Centre, The Hospital for Sick Children, Toronto, Ontario, Canada
We developed an efficient imaging protocol to study the
relationship between cerebral blood volume (CBV) and cerebral blood flow (CBF)
over regions of the entire mouse brain, which may in future be applied to
phenotype models of neurovascular disease. We performed a study that compared
normative values of CBV and CBF over 13 mouse brain regions and over the
cerebral cortex. The CBF was imaged using 3D arterial spin labeling and these
images were co-registered to CBV images determined by a micro-CT protocol. This
method could be useful for characterizing regional differences in vascularity
in mouse models of cerebrovascular disease.
1499.
Temporal
Tissue Assessment in Non-Human Primate Cerebral Ischemia Using Diffusion-Weighted
MR Imaging and ISODATA Cluster Analysis
Mark J.R.J. Bouts1,2, Ona Wu1,3,
Rick M. Dijkhuizen2, Alex J. de Crespigny1,3, Helen E.
D'Arceuil1,3
1Athinoula A. Martinos center for
biomedical imaging, Massachusetts General Hospital, Charlestown, MA, USA; 2Image
Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands; 3Radiology,
Massachusetts General Hospital, Charlestown, MA, USA
Non-human primate experimental stroke models allow for
studying precisely timed evolutionary DWI stroke patterns, which appear similar
to those seen in human stroke, without temporal MRI sampling restriction. In
regional analysis partial volume artifacts and non-significant regional signal
variations within the lesions can bias the analysis outcome.Therefore, in this
study we applied an ISODATA analysis to elucidate on a voxel-by-voxel basis
multiple evolutionary ADC/FA signatures in permanent vs transient MCA occluded
macaque brains. Five distinct signatures were distinguished demonstrating the
potential of voxel-by-voxel analysis in staging, identifying and quantifying
ischemic tissue damage as a result of stroke.
1500. Cerebral
Hypoxia-Ischemia in Neonates as a Model of Ischemic Injury to Study MR
Diagnosis of Descending Corticospinal Tract Degeneration
Sanju Lama1, Min Qiao2, Amy Ng1,
Delphi Barua1, Dave Kirk1, Tad Foniok2,
Ursula Irene Tuor1,2
1Experimental Imaging Center and Faculty of Medicine, University of Calgary, Calgary, AB, Canada; 2Institute
for Biodiagnostics (West), National Research Council, Calgary, AB, Canada
Wallerian degeneration of the descending corticospinal
tract (DCST) has been reported as a detection of increased signal intensities
in Diffusion weighted imaging (DWI) following pediatric stroke. We hypothesized
that a neonatal animal model of cerebral hypoxia ischemia and MRI may also
detect such MR intensity changes. Seven day old rats were subjected to cerebral
hypoxia-ischemia. Following the injury, T2 and DWI increased significantly in
ipsilateral regions of the DCST including the cerebral peduncle and internal
capsule.This is comparable to observations made clinically indicating the
availability of an animal model to investigate details of MR diagnosis of CNS
pre/Wallerian degeneration.
1501. DTI
Eigenvalues in Grey Matter: A Songbird's Perspective
Geert De Groof1, Marleen Verhoye1,2,
Alexander Leemans3, Marcel Eens4, Veerle M. Darras5,
Annemie Van der Linden1
1Bio-Imaging Lab, University of Antwerp,
Antwerp, Belgium; 2Vision Lab, University of Antwerp, Antwerp,
Belgium; 3Cardiff University Brain Research Imaging Centre (CUBRIC),
Cardiff University, Cardiff, UK; 4Ethology Research Group,
University of Antwerp, Antwerp, Belgium; 5Animal Physiology and
Neurobiology Section, K.U. Leuven, Leuven, Belgium
This study investigates seasonal changes of grey matter in the songbird brain
using Diffusion Tensor Imaging (DTI). Here we focused on the nuclei of the
'social behaviour network' and a auditory sensory processing region. Nine male
starlings were measured in both the breeding and the non-breeding season. We
found a decrease of the third eigenvalue from the diffusion tensor from
breeding to non-breeding season in all regions demonstrating a change in
aromatase expression. This indicates that not only the song control system
changes between seasons but other relevant structures in the brain also.
1502. ABCDEFGHI:
Anatomic Basis Construction for Dynamic Enhancement Following Gadolinium
CHelate Injection
Dustin K. Ragan1, James A. Bankson1
1Imaging Physics, M. D. Anderson Cancer Center, Houston, TX, USA
Dynamic Contrast Enhaced (DCE) MRI measures the time
course of a contrast agent in blood and tissue to investigate microvasculature.
The measurement in the blood is challenging, particularly in small animal
models, because of the small size of blood vessels and the fast kinetics of the
agent in the bloodstream. We have developed a novel reconstruction technique
which permits reconstruction of the signal in a ROI from a single phase encode
line. Using this technique we have performed high temporal resolution
measurements of the blood time course in the heart which are free of partial
volume effects.
1503. Physiological
Motion Artifact Correction in Segmented DTI Measurement of Anesthetized
Non-Human Primates
Shiliang Huang1, Xiaodong Zhang1
1Yerkes National Primate Research Center, Emory University, Atlanta, GA, USA
DTI images are very vulnerable to any motion during
scanning. Physiological motion is the dominant motion source in anesthetized
non-human primate subjects, severely corrupting the images and compromising the
quantitative interpretation of DTI data. In this paper, we present a simple
strategy to recover the corrupted segmented EPI images in DTI measurement for
non-human primates, without the need for modifying pulse sequences or acquiring
additional data.
1504.
Diffusion
Tensor Imaging Reveals White and Gray Matter Modifications After Low Dose
56Fe Irradiation
Lei Huang1, Shu-Wei Sun1,2,
Sheng-Kwei Song3, Peter Hayes1, Andre Obenaus1,4
1Radiation Medicine, Loma Linda
University, Loma Linda, CA, USA; 2Biomedical Engineering, Loma Linda
University, Loma Linda, CA, USA; 3Radiology, Washington University,
Saint Louis, MO, USA; 4Radiology, Loma Linda University, Loma Linda,
CA, USA
Neuro-degeneration is one of the major health concerns
following high-energy charged particles (HZE) radiation in space travel. In a
rat model of 56Fe irradiation simulating the space environment, we assessed
brain alterations in white and gray matter at 18 mo post-exposure of 0 – 4 Gy
irradiation using DTI. The profiles of DTI-derived parameters, including Tr,
RA, axial and radial diffusivity differed in the corpus callosum, hippocampus,
substantia nigra and cortex. The results suggest that the sensitivity of DTI
detects disturbances in white matter and gray matter which may both contribute
to the progressive cognitive impairments following brain irradiation.
1505.
Magnetic
Resonance Techniques Applied to the Study of Mouse Brain Complications in
Sepsis
Philippe Garteiser1, Sabrina Doblas1,
Fernando A. Bozza2, Marcus F. Oliveira3, Rebecca Cranford1,
Debra Saunders1, Inna Jones1, Rheal A. Towner1,
Hugo C. Castro-Faria-Neto2
1Advanced Magnetic Resonance Center,
Oklahoma Medical Research Foundation, Oklahoma City, OK, USA; 2Immuno-Pharmacology
Laboratory, Oswaldo Cruz Foundation, Rio De Janeiro, Brazil; 3Medicinal
Biochemistry, University of Rio De Janeiro, Rio De Janeiro, Brazil
Despite the high mortality and incidence of
sepsis-associated encephalopathies, little in vivo evidence is available on the
physiology of the septic brain. Especially, magnetic resonance techniques have
only recently garnered interest in this domain even though their relevance to
other encephalopathies is already demonstrated. Using T2-weighted imaging,
apparent diffusion coefficient (ADC) mapping and localized spectroscopy of mice
with a cecal ligation and puncture model of sepsis, we observed several
distinctive features having a strong correlation to animal survival. In
particular, changes were detected in the metabolic profile, brain basal
vasculature integrity and tissue ADC of septic animals.
1506. MRI
Techniques to Measure RCBF in Experimental Cortical Impact Injury in Mice
Danielle Christa Brink1, Brittany Renshaw
Bitner2, Leela Cherian1, Robia G. Pautler2,
Claudia S. Robertson1
1Neurosurgery, Baylor College of
Medicine, Houston, TX, USA; 2Molecular Physiology and Biophysics,
Baylor College of Medicine, Houston, TX, USA
Traumatic brain injury (TBI) results in potentially
severely compromised cerebral vasculature and significantly reduced regional
cerebral blood flow (rCBF). Here we explore the effect of TBI on rCBF in mice
using MRI techniques. Wildtype mice and transgenic mice deficient for the
enzyme arginase were aneasthetized, intubated, and underwent severe cortical
impact injury (3m/s; 1.5mm deformation). Imaging was done pre- and post-injury to
assess changes in rCBF and injury site. Arginase deficient mice demonstrated
overall higher reperfusion compared to wildtype mice suggesting that arginase
is a key enzyme in the regulatory mechanism for recovery from TBI.
1507. Multi-Slice
Absolute Cerebral Blood Volume Quantification on Animal Model Using a Hybrid
Method of Vascular Space Occupancy and Susceptibility Effect of MION
Chien-Chung Chen1, Young Ro Kim2,
Yi-Chun Wu1, Chou-Ming Cheng3, Tzu-Chen Yeh3,
Fu-Nien Wang1
1Biomedical Engineering and Environmental
Sciences, National Tsing Hua University, Hsinchu, Taiwan, Taiwan; 2Martinos
Center for Biomedical Imaging, Department of Radiology, Massachusetts General
Hospital, Charlestown, MA, USA; 3Integrated Brain Research Laboratory,
Department of Medical Research and Education, Taipei Veterans General Hospital,
Taipei, Taiwan, Taiwan
A hybrid method combing the advantage of Vascular Space
Occupancy, Dynamic Susceptibility Contrast imaging, and susceptibility induced
R2 increase by long half-life contrast agent MION are proposed to measuring
absolute cerebral blood volume (CBV) with multiple slices on animal model. The
correlation between these method are high and therefore a regression can be
utilized to convert multi-slices relative CBV values to absolute
quantifications, which could be beneficial to measuring whole brain perfusion
on animal experiments.
1508.
Diffusion
Tensor Tractography Aids in Anatomical Phenotyping
Jacob Ellegood1, Ameet S. Sengar2,
Michael W. Salter2, Sean E. Egan3, Jason P. Lerch1,
R Mark Henkelman1
1Mouse Imaging Centre, Hospital for Sick
Children, Toronto, Ontario, Canada; 2Neuroscience and Mental Health,
Hospital for Sick Children, Toronto, Ontario, Canada; 3Developmental
Biology, Hospital for Sick Children, Toronto, Ontario, Canada
Diffusion Tensor Imaging (DTI) of fixed mouse brain is
useful in examining development and genetic differences between wild type and
knockout mouse models. Tractography using DTI, allows a qualitative
visualization of changes in the morphology of white matter and has had limited
use in mouse phenotyping. The purpose of this study was to assess anatomical
changes non-invasively in the white matter of a genetically altered mouse model
with associated white matter abnormalities. |
|
Arterial Spin Labeling |
Exhibit Hall 2-3
Tuesday 13:30-15:30 |
|
1509. Delayed
Arrival of Arterial Blood Measured with Arterial Spin Labeling in Patients with
a Symptomatic Carotid Artery Stenosis
Reinoud Pieter Harmen Bokkers1, H. Bart van
der Worp2, Willem P. Mali1, Jeroen Hendrikse1
1Department of Radiology, UMC Utrecht, Utrecht, Netherlands; 2Department of Neurology, UMC Utrecht, Utrecht, Netherlands
Arterial spin labeling (ASL) with image acquisition at
multiple delay times is able to measure the temporal dynamics of arterial blood
inflow in addition to cerebral blood flow. The purpose of this study was to
investigate the effect of a symptomatic stenosis in the internal carotid artery
on the arrival of arterial blood measured with ASL. Herein, we found a delayed
arrival of arterial blood in the hemisphere ipsilateral to ICA stenosis. ASL
measurements of arterial blood inflow may provide valuable information on the
hemodynamic changes in patients with an ICA stenosis.
1510. Characterising
the Origin of the Arterial Spin Labelling Signal in MRI Using a Multi-Echo
Acquisition Approach
Jack A. Wells1,2, Mark F. Lythgoe2,3,
Mankin Choy2,3, David Gadian2, Roger Ordidge1,
David L. Thomas1
1Advanced MRI Group, University College
London, London, UK; 2RCS Unit of Biophysics, UCL Institute of Child
Health, London, UK; 3Centre for Advanced Biomedical Imaging,
University College London, London, UK
ASL provides a means of isolating the MR signal from
arterial blood water in the brain. We have measured the transverse decay of the
ASL signal over a range of bolus durations and delivery times to estimate the
dynamic origin of nutritive flow within the extra and intracellular tissue space
in the rat brain. By taking measurements with and without vascular crusher
gradients we have calculated the extent of the perfusion weighted signal
originating from the cerebral vasculature. We hope that this technique may be
useful for future application in animal models of disease to better understand
the relationship between perfusion and pathology.
1511.
Reliable
Isolation of the Intravascular Contribution in Arterial Spin Labelling MRI
Michael A. Chappell1, Bradley J. MacIntosh1,
Nicola Filippini1,2, Matthias Günther3,4, Clare E. Mackay1,2,
Peter Jezzard1, Mark W. Woolrich1
1Centre for Functional MRI of the Brain,
University of Oxford, Oxford, UK; 2Department of Psychiatry,
University of Oxford, UK; 3Univeristy Hospital Mannheim, University
of Heidelberg; 4Advanced MRI Technologies, Sebastopol, CA
Multi-inversion time ASL is a potentially rich source of
information about the cerebral blood flow, providing more than just CBF
measurement alone. This study demonstrates that it is feasible to extract the
intravascular contribution in ASL data that has not been subject to flow
suppression. A probabilistic approach is used that allows Automatic Relevancy
Determination to be implemented, avoiding over fitting with an arterial blood
signal where none exists.
1512. Optimization
and Implementation of Vessel Suppression Preparation for ASL MRI
Weiying Dai1,2, Philip M. Robson1,2,
Ajit Shankaranarayanan3, David C. Alsop1,2
1Radiology, Beth Israel Deaconess Medical
Center, Boston, MA, USA; 2Radiology, Harvard Medical School, Boston,
MA, USA; 3Applied Science Laboratory, GE Healthcare, Menlo Park, CA,
USA
The presence of intravascular signal can have
undesirable effects on image quality and perfusion values with arterial spin
labeling (ASL) techniques. Bipolar gradients have been employed to attenuate
the flowing labeled spins within spin or gradient echo echoplanar images.
However, the insertion of bipolar gradients can be difficult or impossible in
multiple RF refocused imaging sequences such as FSE and balanced SSFP. As an
alternative, we optimized and implemented a preparation sequence before the
image acquisition to eliminate the fast flowing spins. This preparation can be
flexibly combined with any image acquisition.
1513. Dispersion
of a Short ASL Bolus Along the Arterial Tree
Matthias Günther1
1Neurology department, University
Hospital Mannheim, University Heidelberg, Mannheim, Germany
In ASL, the inflow of labeled blood is usually modeled
by assuming a single arrival time of the bolus in the voxel under
consideration. However, it was shown that models, which assume a distribution
of arrival times can fit some signal curves more accurately. The goal of this
work is to show how a labeled blood bolus is dispersed while traveling down the
arterial tree. A short bolus of 500ms length is used and sampled with 100ms
temporal resolution. The broadening of this bolus is approximately proportional
to the bolus arrival time. This tool might be a sensitive marker to detect
local changes of hemodynamics.
1514. Benefits
of Short Bolus ASL
Matthias Günther1
1Neurology department, University
Hospital Mannheim, University Heidelberg, Mannheim, Germany
Usually, a long labeled blood bolus is used in arterial
spin labeling (ASL) to yield optimal signal-to-noise ratios in
perfusion-weighted images. In this work, properties of short bolus ASL is
examined and demonstrated. Benefits of this approach include the approximate measurement
of the tissue response curve and the precise probing of properties of parts of
the arterial tree. Based on the ASL data with a short bolus length BL data sets
can be reconstructed with a virtual bolus length, which is a multiple of BL.
This allows calculating ASL time series with a bolus length of e.g. 2500ms,
which usually cannot be measured in reality. The deviation between true and
calculated bolus is less than 1% for common parameters. Short bolus ASL might
probe sensitive to changes due to neuro-degenerative or small vessel disease.
1515.
Theoretical
and Experimental Comparison of Different Techniques for Continuous Arterial
Spin Labelling
Rolf Pohmann1, Juliane Budde1,
Edward Auerbach2, Gregor Adriany2, Kamil Ugurbil2
1Magnetic Resonance Center,
Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany; 2Center
for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
Several sequences for continuous arterial spin labelling
have been proposed to overcome the technical and conceptual difficulties of
this technique. Four different schemes for performing tag and control scans
have been simulated for parameter optimization and implemented on a 3 T
scanner. All sequences produced excellent perfusion images and were clearly
superior to pulsed arterial spin labelling. Both simulations and experiments
showed minor differences in SNR between the four techniques.
1516. ASL
Optimization for Hippocampus Physostigmine Challenge Perfusion Study
Xiufeng Li1, Subhendra Sarkar2,
David M. Buhner3, Robert W. Haley4, Richard W. Briggs3,5
1Biomedical Engineering, UT Southwestern
Medical Center, Dallas, TX, USA; 2Radiology, Beth Israel Deaconess
Medical Center, Boston, MA, USA; 3Internal Medicine, UT Southwestern
Medical Center, Dallas, TX, USA; 4Internal Medicine, UT Southwestern
Medical Center , Dallas, TX, USA; 5Radiology, UT Southwestern
Medical Center, Dallas, TX, USA
To better facilitate hippocampus physostigmine challenge
perfusion studies using ASL technique, one optimization study was performed to
determine proper post-bolus delay time by performing multiple inversion
perfusion studies with fixed labeling time but varied post-bolus delay times
for sessions with both saline infusion and PHY infusion. The study results
indicate that post-bolus delay times equal to 1.0 s or 1.2 s give lower
inter-subject variability of hippocampus CBF measurements for perfusion studies
with both saline and PHY challenge. Hippocampus CBF measurements at post-bolus
delay equal to 1.2 s showed the largest decrease in CBF with PHY infusion.
1517. Modulated
Dual Saturation Pulse Trains for FAIR Studies of Cerebellum Perfusion
Xiufeng Li1, Subhendra Sarkar2,
Robert W. Haley3, Richard W. Briggs3,4
1Biomedical Engineering, UT Southwestern
Medical Center, Dallas, TX, USA; 2Radiology, Beth Israel Deaconess
Medical Center, Boston, MA, USA; 3Internal Medicine, UT Southwestern
Medical Center, Dallas, TX, USA; 4Radiolody, UT Southwestern Medical
Center, Dallas, TX, USA
When FAIR with Q2TIPS is applied for perfusion studies
of specific brain regions, such as cerebellum, the superior labeled venous
blood generates huge undesired artifacts, making CBF estimation in neighboring
tissue unreliable. To avoid these adverse artifacts in cerebellum perfusion
studies, a modulated dual saturation pulse trains for FAIR (MDS FAIR) technique
was implemented and evaluated by performing perfusion studies in the
cerebellum. The study results show that the MDS FAIR can greatly minimize these
adverse venous artifacts. This technique should also be valuable for perfusion
studies of other organs and tissues where similar problems exist.
1518. Correcting
for Off-Resonance Induced Degradation of Inversion Efficiency in
Pseudo-Continuous ASL
Hesamoddin Jahanian1,2, Luis Hernandez-Garcia1,2,
Douglas C. Noll1,2
1Functional MRI Laboratory, University of
Michigan, Ann Arbor, MI, USA; 2Department of Biomedical Engineering,
University of Michigan, Ann Arbor, MI, USA
Pseudo-continuous arterial spin labeing (pCASL) uses a
long train of labeling pulses to provide multi-slice cerebral perfusion
measurements while compensating for magnetization transfer effects without
using additional hardware. Changes in local resonance frequency and field
gradients, due to field inhomogenities, can compromise the tagging efficiency
of pCASL, which causes loss in SNR and can lead to quantification error. Here
we examine the efficacy of dynamically changing the residual gradient moment (h) to systematically compensate the unwanted
changes in φ thus restoring the tagging efficiency of PCASL. The method is
demonstrated using numerical simulation and In-vitro data.
1519.
Off-Resonant
Artifact Correction of RF Pulse Concatenation for Blood Flow Imaging
Applications
Cheng Ouyang1, Luis Hernandez2,
Brad P. Sutton1,3
1Bioengineering, University of Illinois
at Urbana-Champaign, Urbana, IL, USA; 2FMRI Laboratory, University
of Michigan, Ann Arbor, MI, USA; 3Beckman Institute, University of
Illinois at Urbana-Champaign, Urbana, IL, USA
Concatenation of RF pulses holds great potential for
allowing tag and saturation pulses to occur near imaging slices in arterial
spin labeling scans or other blood flow imaging methods. However, concatenated
RF pulses suffer from reduction of tag efficiency and improper control images
when magnetic field inhomogeneity is present. In this abstract, we present a
framework for correcting field inhomogeneity effects on the net flip angle of
concatenated RF pulses. This framework will allow for future developments of
blood flow imaging methods with saturation planes very close to or coincident
with the imaging slices.
1520.
Continuous
Arterial Spin Labeling at 9.4T: How Long to Label?
Hanbing Lu1, William Rea1, Elliot
A. Stein1, Yihong Yang1
1National Institute on Drug Abuse,
National Institutes of Health, Baltimore, MD, USA
A ¡°steady-state¡± condition has often been assumed in
ASL quantification. However, when T1 values are remarkably increased at high
fields, such as 9.4T, the steady-state condition may not be satisfied when the
tagging duration is not sufficiently long. Two practical questions arise: 1)
how long should the tagging duration be for reaching a steady-state at 9.4T;
and 2) how much error could be potentially introdcued when such assumption is
not satisfied. Theoretical analysis and eperimental data are presented. Results
show that at 9.4T, short tagging duration (¡Ü4.8s) does not satisfy the
¡°steady-state¡± assumption, systematically underestimating resting-state
perfusion values by ~30%. A correction procedure may be required.
1521.
Regional
White Matter Perfusion Measurement Using an Optimized Pseudo-Continuous ASL MRI
Kun Lu1, Thomas T. Liu1, Eric C.
Wong1, Youngkyoo Jung1
1Radiology, University of California San Diego, La Jolla, CA, USA
Measuring white matter perfusion using arterial spin
labeling (ASL) MRI is challenging due to low SNR, partial volume and transit
time effects. In this study we used an optimized pseudo-continuous ASL method
to measure transit time and perfusion in major white matter regions across the
brain. The optimized method offered significantly improved SNR compared to
conventional pulsed and continuous ASL methods and enabled perfusion
measurement in white matter. The partial volume effects were reduced by
carefully selecting only regions of interest containing more than 90% of white
matter. Our results indicated a wide spread of the white matter transit time
and perfusion values. The mean transit time for whole brain white matter was
1394 msec and mean perfusion 23.6 ml/100g/min.
1522.
Optimization
of the Encoding Scheme for Improved SNR Efficiency in Vessel Encoded
Pseudo-Continuous ASL
Jia Guo1, Eric C. Wong2
1Bioengineering, UC San Diego, La Jolla,
CA, USA; 2Radiology and Psychiatry, UC San Diego, La Jolla, CA, USA
In Vessel-Encoded Pseudo-Continuous ASL, encoding
schemes with high SNR efficiency are important to correctly decode the vascular
territory information. Hadamard type encoding is optimal, but it is not always
obvious how to construct such a matrix. In this study, the tagging profile of
VE-PCASL is measured from in vivo data, and fitted to a simple model. Based on
this model, an encoding scheme with a small number of encoding steps to
optimize the efficiency is achieved by configuring the encoding gradients such
that the encoding matrix has columns from a Hadamard matrix under constrains
such as gradient amplitude.
1523.
A
Method for Automatic Selection of the Labeling Slabs in Regional Arterial Spin
Labeling
Ina Kompan1, Matthias Günther1,2,
Johannes Heitz3
1University of Heidelberg, Heidelberg, Germany; 2Universitätsklinikum Mannheim, Mannheim, Germany; 3mediri GmbH, Heidelberg, Germany
The method of regional arterial spin labeling allows to
measure the cerebral perfusion of single feeding arteries. Selective
positioning of the labeling slabs on the arteries of interest therefore must be
accomplished. Manual selection of the slabs is operator-dependent. Here, a
method is presented for automatic finding and positioning of the inversion
slabs.
1524.
Reproducibility
of Flow Territories Defined by Plannings-Free Vessel Encoded Pseudo-Continuous
Arterial Spin Labeling
Sanna Gevers1, Aart J. Nederveen1,
Reinoud P.H. Bokkers2, Jeroen Hendrikse2, Dennis A. Kies3,
Wouter M. Teeuwisse3, C.B. Majoie1, Matthias J.P. van
Osch3
1Radiology, Academic Medical Center,
Amsterdam, Noord Holland, Netherlands; 2Radiology, University
Medical Center , Utrecht, Netherlands; 3Radiology, Leiden University
Medical Center, Leiden, Netherlands
Plannings-free selective arterial spin labeling MRI has
the unique capacity to show the perfusion territories of brain feeding arteries
non-invasively. The clinical applicability of this method is highly dependent
on reliability and accuracy with which different flow territories can be
identified. Therefore the aim of the present study was to determine whether RPI
based flow territories are imaged sufficiently reliable and accurate to be used
in a clinical setting.
1525. Within
and Between Session Reproducibility of MR Perfusion Using PICORE Q2TIPS at 3T
Yang Wang1, Andrew J. Saykin1, Chen
Lin1, Kristine M. Mosier1, Andrew J. Kalnin1,
Josef Pfeuffer2
1IU center for Neuroimaging, Department
of Radiology, Indiana University School of Medicine, Indianapolis, IN, USA; 2Siemens
Medical Solutions USA, Inc.
In this study, we evaluate within and between session
reproducibility of perfusion MR using PASL sequence PICORE Q2TIPS, and compare
results with and without physiological noise correction.
1526. Double
Acquisition Background Suppressed (DABS) FAIR at 3T and 7T: Advantages for
Simultaneous BOLD and CBF Acquisition.
Roman Wesolowski1, Penny A. Gowland1,
Susan T. Francis1
1School of Physics and Astronomy,
University of Nottingham, Sir Peter Mansfield Magnetic Resonance Centre,
Nottingham, Nottinghamshire, UK
We have developed and optimised a Double Acquisition
Background Suppression (DABS) method for simultaneous CBF and BOLD image
collection using FAIR at 3 and 7T. Background suppression reduces physiological
noise in ASL by acquiring images close to the null point, but this prohibits
simultaneous BOLD acquisition. DABS is a new method which acquires a second
BOLD weighted acquisition at the end of each TR period. We have used this
technique to obtain qualitative maps of CBF and BOLD haemodynamic responses to
a finger tapping task at both 3 and 7T. This technique improves the detection
of CBF changes whilst retaining good BOLD contrast.
1527.
Background
Suppression in Multi Slice Arterial Spin Labeling
Wouter M. Teeuwisse1,2, Maarten J. Versluis1,2,
Mark A. van Buchem1,2, Matthias J.P. van Osch1,2
1Radiology, Leiden University Medical Center,
Leiden, Netherlands; 2C.J.Gorter Center for High Field MRI, Leiden,
Netherlands
In Arterial Spin Labeling, background suppression (BS) is known to enable a two
fold increase in SNR of the perfusion images. However, for multi slice
acquisition BS is only optimal for the first slice and will deteriorate in
later slices due to regrowth of the background signal. In this study, efficiency
of BS and its relation to SNR is investigated and also, whether addition of BS
inversion pulses that are played between acquisition of slices improves BS and
SNR for later slices.
1528.
Continuous
Arterial Spin Labeling by a Separate Neck Coil with Inversion-Recovery
Suppression of Static Tissue Signals (Ir-CASL)
Qiang Shen1, Timothy Q. Duong1
1Research Imaging Center, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
Reduction or elimination of the static tissue signal in
an ASL study could improve sensitivity and reproducibility. Such static tissue
signal reduction has been achieved with the use of additional inversion pulses
during the labeling of arterial spins in single-coil ASL techniques. In this
work, we implemented the inversion-recovery suppression of static tissue to the
two-coil continuous ASL (ir-cASL) to image baseline CBF and stimulus-evoked CBF
fMRI. This approach compares favorably with existing methods because static
tissue suppression is independent of labeling efficiency.
1529. Improved
Detection and Estimation of Perfusion Using High Spatial Resolution ASL at 7T
Emma Louise Hall1, Roman Wesolowski1,
Penny A. Gowland1, Susan T. Francis1
1Sir Peter Mansfield Magnetic Resonance
Centre, University of Nottingham, Nottingham, Nottinghamshire, UK
Arterial Spin Labelling (ASL) data is typically acquired
at coarse resolution with voxel volumes of ~ 50 ƒÝl. In this study the
increased signal-to-noise and lengthened relaxation times at 7 T are used to
acquire ASL at a range of spatial resolutions (45 ƒÝl, 27 ƒÝl, 12 ƒÝl and 7
ƒÝl). At high spatial resolution partial volume effects are reduced allowing
the delineation of homogeneous grey matter perfusion changes. This leads to an
increase in the measured mean grey matter ASL signal change, which will result
in increased measured perfusion rate, and increased contrast-to-noise ratio.
1530.
Single
Pair Arterial Spin Labeling Imaging
Jiabao He1, Andrew M. Blamire1
1Newcastle Magnetic Resonance Centre,
Newcastle upon Tyne, Tyne and Wear, UK
Arterial spin labelling is a valuable MR technique to
examine cerebral blood flow. Due to the small amplitude of contrast, a large
number of acquisitions have to be collected, resulting in prolonged
experimental duration. Two major sources of signal loss are T1 relaxation of
tagged magnetization during transit between the labelling zone and imaging
slice and T2* relaxation during imaging readout. In this work, we present a
FAIR based technique to accelerate perfusion image acquisition through a
combination of single slice imaging with a tightly restricted inversion slab to
reduce transit region and spiral readout to mininize TE.
1531. Comparison
of Perfusion Values Obtained by Single Subtraction and Multiple Subtraction
Strategies in ASL
Onur Ozyurt1, Alp Dincer2,
Cengizhan Ozturk1
1Bogazici University, Biomedical
Engineering Institute, Istanbul, Bebek, Turkey; 2Radiology Department,
Acibadem University, School of Medicine, Istanbul, Turkey
In this study, voxel-wise comparison of CBF maps
obtained from normal volunteers by single subtraction (SS)(typically, TI2 =
1400) and multiple subtraction (MS) experiments were done. It is shown that
even for a healthy brain; SS method may result in underestimation in CBF in
some voxels. Additionally, these voxels were identified as arterial sites and
the regions with prolonged transit times. The amount of differences in CBF
estimates of both methods are calculated.
1532. Comparison
of Breath Holding Techniques for the Calibration of FMRI Measurements of Oxygen
Metabolism
Peter Roberts1, Peter Jezzard1,
Daniel Bulte1
1FMRIB Centre, University of Oxford, Oxford, Oxfordshire, UK
Changes in the cerebral metabolic rate of oxygen
consumption (CMRO2) during functional brain activity can be estimated from fMRI
measurements of cerebral blood flow (CBF) and the blood oxygenation level
dependent (BOLD) signal. A common method of calibrating the calculation uses
breath holds to induce hypercapnia, which causes changes in cerebral blood
oxygenation and flow. It has been debated whether it is better, either due to
differences in physiology or magnetic field shim quality, to hold the breath
after inspiration or expiration. The present study compared the two techniques
by acquiring interleaved BOLD and CBF fMRI images from six subjects.
1533.
Measuring
Absolute Arteriolar Cerebral Blood Volume (CBVa) in Human Brain Gray Matter
(GM) Without Contrast Agent
Jun Hua1, Qin Qin1, James J. Pekar1,
Peter CM van Zijl1
1Dept. of Radiology, The Johns Hopkins University, Baltimore, MD, USA
Vascular-space-occupancy (VASO) MRI can measure relative
cerebral blood volume (CBV) without contrast agents using non-selective
inversion to null blood signal. When spatially selective inversion is employed
to null only blood flowing into a slice, signal can be sensitized to arteriolar
CBV (CBVa) if a condition can be achieved for which blood-nulling time and
arterial transit time are comparable. We show that absolute CBVa can be
determined by performing such a scan with and without blood nulling followed by
intensity-normalized subtraction. Measured CBVa in human GM was 0.96±0.18ml/100ml
(n=7), in agreement with literature estimates.
1534. 3D
Balanced SSFP Imaging of Arterial Arrival Time and Perfusion in Abdominal
Organs Using Arterial Spin Labeling
Philip M. Robson1, Weiying Dai1,
Ajit Shankaranarayanan2, David C. Alsop1
1Radiology, Beth Israel Deaconess Medical Center, Boston, MA, USA; 2Applied Science Laboratory, GE
Healthcare, Menlo Park, CA, USA
Most studies using arterial spin labelling (ASL) for
perfusion in the abdomen have used 2D acquisitions in a limited number of
slices. We evaluated 3D balanced SSFP imaging for volumetric acquisition of
abdominal perfusion. Subtraction ASL, with background suppression was used to
obtain large field of view perfusion images in the abdomen, identifying
perfusion in the renal parenchyma and in the spleen. Dynamic perfusion imaging
measured the arrival time of blood to the tissues, employing
continuous-labelling ASL that permits variable labelling times, independent of
background suppression.
1535. Assessment
of Retinal and Choroidal Vascular Reactivity in Humans with Arterial Spin
Labeling Perfusion Imaging
Nasim Maleki1, David C. Alsop2,
Weiying Dai2, Chris Hudson3,4, David Mikulis1,
Jay Han5, Joseph A. Fisher5,6
1Department of Medical Imaging,
University of Toronto, Toronto, ON, Canada; 2Department of
Radiology, Harvard Medical School and Beth Israel Deaconess Medical Center,
Boston, MA, USA; 3School of Optometry, University of Toronto,
Waterloo, ON, Canada; 4Department of Ophthalmology & Vision
Science, University of Toronto, Toronto, ON, Canada; 5Department of
Anesthesiology, University of Toronto, Toronto, ON, Canada; 6Thornhill
Research Inc., Toronto, ON, Canada
Some of the major causes of irreversible vision loss are
characterized by a pathophysiologic vascular dysfunction element. The
feasibility of measurement of the total blood flow to the retina with an
optimized arterial spin labeling method has been described previously. In the
current study, we hypothesized that ASL can be used to measure the changes in
flow to the combined retinal and choroidal system induced by hypercarbic and
hyperoxic stimuli in human. Our results indicate that a CO2 provocation
challenge in combination with the ASL may be a promising approach to
investigate choroidal vascular reactivity under normal and disease states.
1536.
Layer-Specific
Blood Flow MRI of the Mouse Retina
Eric Raymond Muir1,2, Timothy Q. Duong2
1Biomedical Engineering, Georgia
Institute of Technology, Atlanta, GA, USA; 2Research Imaging Center,
University of Texas Health Science Center, San Antonio, TX, USA
The retina is nourished by two separate blood supplies,
the retinal and choroidal vessels. We previously reported blood flow MRI of the
rat retina at 90x90 micron, but this resolution was insufficient to resolve the
two vascular layers supplying the retina and the avascular layer in between.
Herein, we developed the continuous arterial spin labeling technique for blood
flow imaging of the mouse retina at considerably higher resolution (42x42
micron) to resolve the two vascular layers and the avascular layer in between.
The effects of two common anesthetics, isoflurane or ketamine/xylazine, on
blood flow in the retina were also examined.
1537.
Assessment
of Calf Perfusion Kinetics in Response to Exercise and Ischaemia Using
Q2TIPS-Arterial Spin Labelling Method
Elina Raja Ahmad1, Laura Michelle Parkes2,
Graham J. Kemp1
1Magnetic Resonance & Image Analysis
Research Centre (MARIARC), School of Clinical Sciences, University of Liverpool, Liverpool, UK; 2Imaging Science and Biomedical Engineering, School of Cancer and Imaging Sciences, The University of Manchester, Manchester, UK
Q2TIPS, a pulsed ASL variant, has technical advantages
which have improved perfusion quantification in the brain. We report its first
application to skeletal muscle, studying calf perfusion recovery kinetics after
exercise and ischaemia. Four datasets were collected with 6 s resolution during
recovery from 5 min cuff ischaemia (200 mmHg) in 5 subjects, and after 30s
sustained 80% maximal plantar flexion in 4 subjects. Recovery kinetics after
ischaemia and exercise were similarly fast (t½ 6±1, 7±2 s, respectively)
indicating rapid vascular reactivity. Reproducibility of peak flow and t½ was
good (CV 10-22%).
1538.
Comparing
Kidney Perfusion Using Arterial Spin Labeling and Microsphere Methods in an
Interventional Swine Model
Nathan Artz1, Andrew Wentland1, Elizabeth Sadowski2, Zhifei Wen1, Thomas Grist1,2, Arjang
Djamali3, Sean Fain1,2
1Medical Physics, University of
Wisconsin, Madison, WI, USA; 2Radiology, University of Wisconsin,
Madison, WI, USA; 3Nephrology, University of Wisconsin, Madison, WI,
USA
Two methods of measuring cortical kidney perfusion,
fluorescent microspheres and ASL-FAIR, are compared for 5 swine at four time
points: under baseline conditions, during an acetylcholine and fluid bolus
challenge, and at baseline and after 2 hours of isoflurane anesthesia with ice
placed on one of the kidneys. ASL correlates well with microspheres at every
time point during the experiment, with a rho = 0.7.
1539.
ASL-FAIR
Technique Optimization for Measuring Kidney Perfusion in Native and
Transplanted Kidneys
Nathan Artz1, Zhifei Wen1, Yin
Huang1, Sean Fain1,2
1Medical Physics, University of Wisconsin, Madison, WI, USA; 2Radiology, University of Wisconsin, Madison, WI, USA
An ASL-FAIR technique was optimized to measure cortical
perfusion in native and transplanted kidneys. Motion compensation methods,
kidney-specific T1 information, and a measured FAIR inversion factor are
incorporated into perfusion measurement and calculation. Perfusion results with
and without corrections are shown for two subjects (one transplant and one
native) with diminished kidney function. Correction based methods are shown to
affect the perfusion results by as much as 39%.
1540. Perfusion
Imaging of Inflammatory Thyroid Diseases Using an Arterial Spin Labeling
Technique
Christina Schraml1, Karsten Müssig2,
Petros Martirosian1, Nina F. Schwenzer1, Andreas Boss1,
Claus D. Claussen3, Hans U. Häring2, Bernd Balletshofer2,
Fritz Schick
1Department of Diagnostic Radiology,
Section on Experimental Radiology, University Hospital of Tuebingen, Tuebingen,
BW, Germany; 2Department of Internal Medicine IV, University
Hospital of Tuebingen, Tuebingen, BW, Germany; 3Department of
Diagnostic Radiology, University Hospital of Tuebingen, Tuebingen, BW, Germany
Thyroid inflammation pathologies are related to changes
in thyroid tissue perfusion which cannot be quantified absolutely by the
established imaging modalities. The aim of the present study was to investigate
thyroid perfusion in autoimmune inflammatory thyroid diseases (Graves-Basedow
and Hashimoto’s thyroiditis) by using an arterial spin-labeling approach
working without contrast media administration. Perfusion maps of diagnostic
quality were created by means of the extended Bloch equations. Perfusion values
were calculated by ROI-analysis revealing significantly different perfusion
values in the examined patient groups in comparison to healthy volunteers.
Perfusion imaging may be helpful in diagnosis and monitoring of thyroid
inflammation pathologies. |
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