10:45 |
0029. |
Selective magnetic
resonance imaging of magnetic nanoparticles by Acoustically
Induced Rotary Saturation (AIRS)
Bo Zhu1,2, Thomas Witzel1, Shan
Jiang3, Susie Y. Huang1, Bruce R.
Rosen1,4, and Lawrence L. Wald1,2
1Martinos Center for Biomedical Imaging,
Department of Radiology, Massachusetts General Hospital,
Charlestown, MA, United States, 2Harvard-MIT
Division of Health Sciences Technology, Massachusetts
Institute of Technology, Cambridge, MA, United States, 3David
H Koch Institute for Integrative Cancer Research,
Department of Chemical Engineering, Massachusetts
Institute of Technology, Cambridge, MA, United States, 4Department
of Meridian & Acupuncture, Collaborating Center for
Traditional Medicine, East-West Medi, Kyung Hee
University, Seoul, Korea
The manual image interpretation process typically
required to locate magnetic nanoparticle contrast agents
from pre- and post-injection scans often results in
ambiguous identifications. We present a resonant
spin-lock acquisition technique to selectively image
iron oxide contrast agents within an entirely
post-injection paradigm, offering more certain
localization of iron oxide presence for research and
clinical studies. The ability to perform block-design
experiments with the method’s rapidly modulatable agent
contrast further enables quantitative statistical
analysis, extending the robustness and flexibility of
iron oxide nanoparticles as an investigative molecular
imaging tool.
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11:05 |
0030. |
Spin Echoes in the Regime
of Weak Dephasing
Jakob Assländer1, Steffen Glaser2,
and Jürgen Hennig1
1Dept. of Radiology - Medical Physics,
University Medical Center, Freiburg, Germany, 2Dept.
of Chemistry, Technische Universität München, Germany
It is shown that it is possible to form spin echoes
after a single excitation pulse, where the time between
the end of the pulse and the echo is longer than the
length of the pulse itself. This stands in contrast to
Hahn's spin echo theory, where the length of the pulse
sequence is at most equal to the time between the end of
the composite pulse and the echo. A representative pulse
is implemented into a FLASH sequence and
proof-of-concept images show a reduction of
off-resonance induced signal attenuation.
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11:25 |
0031. |
k-t FASTER: Acceleration of
fMRI Data Acquisition using Low Rank Constraints - permission withheld
Mark Chiew1, Stephen M. Smith1,
Peter J. Koopmans1, Nadine N. Graedel1,
Thomas Blumensath1, and Karla L. Miller1
1FMRIB Centre, University of Oxford, Oxford,
Oxfordshire, United Kingdom
FMRI data acquisition can benefit from improvements in
sampling efficiency to provide richer spatial or
temporal information. In this work, we propose a novel
mechanism for accelerating FMRI data acquisition by
leveraging the intrinsic spatio-temporal structure in
FMRI datasets, namely that temporal information is
shared across spatial locations. Our method, k-t FASTER
(FMRI Accelerated in Space-time via Truncation of
Effective Rank), is demonstrated on 4x accelerated data
to recover resting state networks without using coil
information. We also briefly highlight subsequent
improvements using more sophisticated k-space
trajectories to achieve up to 8.25x acceleration.
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11:45 |
0032. |
Free-Breathing Pediatric
MRI with Nonrigid Motion Correction and Acceleration - permission withheld
Joseph Yitan Cheng1,2, Tao Zhang1,2,
Nichanan Ruangwattanapaisarn3, Marcus T.
Alley2, Martin Uecker4, John M.
Pauly1, Michael Lustig4, and
Shreyas S. Vasanawala2
1Electrical Engineering, Stanford University,
Stanford, CA, United States, 2Radiology,
Stanford University, Stanford, CA, United States, 3Ramathibodi
Hospital, Mahidol University, Bangkok, Thailand, 4Electrical
Engineering and Computer Sciences, University of
California, Berkeley, CA, United States
The goal of this work is to develop and assess motion
correction techniques for free-breathing pediatric MRI.
First, a variable-density sampling and radial-like
phase-encode ordering scheme was developed for a 3D
Cartesian acquisition. Second, intrinsic multichannel
butterfly navigators were used to measure respiratory
motion. Lastly, these estimates were applied for both
motion-weighted data-consistency in an accelerated
imaging reconstruction, and for nonrigid motion
correction using a localized autofocusing framework.
With IRB approval and informed consent, 22 pediatric
patients were imaged, and representative features were
evaluated. With the proposed methods, diagnosable
high-resolution abdominal volumetric scans can be
obtained from free-breathing acquisitions that are
comparable to longer respiratory-gated scans.
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12:05 |
0033. |
In Vivo Visualization of
Mesoscopic Anatomy of Healthy and Pathological Lymph Nodes
Using 7T MRI: A Feasibility Study
Martin Thomas Freitag1, Mathies Breithaupt2,
Moritz Berger2, Reiner Umathum2,
Armin M. Nagel2, Jessica Hassel3,
Mark E. Ladd2, Wolfhard Semmler2,
Heinz-Peter Schlemmer4, and Bram Stieltjes4
1Section Quantitative Imaging Based Disease
Characterization, German Cancer Research Center,
Heidelberg, Baden-Wuerttemberg, Germany, 2Department
of Medical Physics in Radiology, German Cancer Research
Center, Heidelberg, Germany, 3Department
of Dermatology, National Center for Tumor Diseases (NCT),
University of Heidelberg, Heidelberg, Germany, 4Department
of Radiology, German Cancer Research Center, Heidelberg,
Baden-Wuerttemberg, Germany
tba
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12:25 |
0034. |
Automatic and Quantitative
Assessment of Total and Regional Muscle Tissue Volume using
Multi-Atlas Segmentation - permission withheld
Anette Karlsson1,2, Johannes Rosander3,
Joakim Tallberg2, Anders Grönqvist2,4,
Magnus Borga1,2, and Olof Dahlqvist Leinhard2,5
1Department of Biomedical Engineering (IMT),
Linköping University, Linköping, Sweden, Sweden, 2Center
for Medical Image Science and Visualization (CMIV),
Linköping University, Linköping, Sweden, 3Advanced
MR Analytics (AMRA) AB, Linköping, Sweden, 4Department
of Radiation Physics and Department of Medical and
Health Sciences, Linköping University, Linköping,
Sweden, 5Department
of Medical and Health Sciences (IMH), Linköping
University, Linköping, Sweden
The purpose is to develop and demonstrate a rapid
whole-body MRI method for automatic quantification of
total and regional lean skeletal muscle volume.
Quantitative water and fat separated image volumes of
the whole body are manually segmented and used as
atlases. The atlases are non-rigidly registered onto to
a new image volume and the muscle groups are classified
using a voting scheme. A leave-one-out approach with
subjects scanned in a 1.5 T and a 3.0 T scanner is used
for validation. The method quantifies the whole-body
skeletal muscle volumes and the volumes of separate
muscle groups independently of image resolution.
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