Flow Quantification & Cardiovascular Image Processing
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Friday May 13th
Room 512A-G |
10:30 - 12:30 |
Moderators: |
Josh Oshinski and Smita Sampath |
10:30 |
724. |
Assessment of Left
Ventricular 2D Pseudo Flow Pathway during Early Diastole
Using SPAMM-PAV
Ziheng Zhang1, Donald P. Dione2,
Ben A. Lin2, Albert J. Sinusas2,
and Smita Sampath1
1Department of Diagnositc Radiology, Yale
University, School of Medicine, New Haven, CT, United
States, 2Section
of Cardiovascular Medicine, Yale University, School of
Medicine, New Haven, CT, United States
Early diastolic filling is tightly coupled to regional
myocardial relaxation patterns. Here, we track the 2D
pseudo pathlines of blood emitter particles that are
dynamically released from the mitral valve plane during
early diastole. Results in normal volunteers demonstrate
a distinct pattern of filling that corresponds closely
with myocardial relaxation patterns. Further, results in
an infarcted animal demonstrate significant abnormality,
underlining the sensitivity of this method as an
indicator of diastolic filling abnormalities.
|
10:42 |
725. |
3D Aortic Blood Flow in
Patients with Marfan Syndrome: Changes in Hemodynamics and
Correlation with Aortic Geometry
Michael Markl1, Julia Geiger1,
Lena Herzer2, Brigitte Stiller2,
and Raoul Arnold2
1Radiology, Medical Physics, University
Medical Center, Freiburg, Germany, 2Pediatric
Cardiology, University Medical Center, Freiburg, Germany
The aim of this study was to apply flow-sensitive 4D MRI
for the comprehensive characterizations of flow pattern
changes in clinically unsuspicious Marfan patients
(without aortic disease) and to evaluate the effect of
aortic geometry on hemodynamic alterations. Results were
compared to findings in healthy volunteers and patients
with suspected Marfan syndrome. Helix and vortex flow
was clearly enhanced in the descending aorta of Marfan
patients and was associated with significantly increased
valve and aortic diameters. Flow-sensitive 4D MRI may
help to identify Marfan patients at risk for
cardiovascular complications and to assign appropriate
therapies prior to these complications.
|
10:54 |
726. |
Assessment of blood flow
patterns in the Pulmonary Artery with 4D Flow MRI
Pablo Bächler1, Natalia Pinochet1,
Gérard Crelier2, Cristián Tejos3,4,
Pablo Irarrazaval3,4, and Sergio Uribe4,5
1School of Medicine, Pontificia Universidad
Católica, Santiago, Chile, 2Institute
for Biomedical Engineering, University and ETH, Zurich,
Switzerland, 3Electrical
Engineering Department, Pontificia Universidad Católica,
Chile, 4Biomedical
Imaging Center, Pontificia Universidad Católica, Chile, 5Radiology
Department, Pontificia Universidad Católica, Chile
4D Flow has been used to study blood flow patterns,
mainly in the aorta. We performed a flow pattern
analysis in the Pulmonary Artery (PA). 4D Flow depicted
complex flow patterns in the PA, revealing two vortices
in the main PA and one in the right PA in healthy
subjects. Abnormal blood flow patterns were seen in
patients with different Congenital Heart Diseases (CHD),
revealing complex hemodynamics in the pulmonary circuit.
Knowledge of abnormal flow patterns in the PA in
patients with CHD has the potential to contribute to
improve current surgical interventions in this group of
patients.
|
11:06 |
727. |
Absolute Quantification of
Pulmonary Pressure Waveforms with MRI in Pulmonary
Hypertension Patients
Octavia Biris1,2, Sanjiv Shah3,4,
Jeremy Collins1, Amir Davarpanah1,
James Carr1,3, and Timothy J Carroll1,2
1Radiology, Northwestern University, Chicago,
IL, United States, 2Biomedical
Engineering, Northwestern University, Evanston, IL,
United States, 3Feinberg
School of Medicine, Northwestern University, Chicago,
IL, United States, 4Cardiology,
Northwestern University, Chicago, IL, United States
Pulmonary arterial hypertension, a disease of
proliferation of the pulmonary arteries, is currently
diagnosed by right heart catheterization. We propose to
develop a non-invasive alternative to catheterization,
by which pulmonary artery pressure is calculated
according to the Windkessel model by direct convolution
of the pulmonary artery flow wave with an exponential
function of time and vessel parameters compliance and
vascular resistance. While flow in the pulmonary artery
branches can be measured directly by MRI, compliance
must be estimated from measurements of flow and vessel
cross-section throughout the cardiac cycle. Pulmonary
vascular resistance is estimated from measures of right
ventricular function.
|
11:18 |
728. |
4D MR Velocity Mapping
using PC VIPR to Quantify Blood Flow In Portal Hypertension
Alejandro Roldán-Alzate1, Alex Frydrychowicz1,
Eric J Niespodzany1, Benjamin R Landgraf1,
Oliver Wieben1,2, and Scott B Reeder1,2
1Radiology, University of Wisconsin, Madison,
WI, United States, 2Medical
Physics, University of Wisconsin, Madison, WI, United
States
Accurate quantification of hepatic blood flow would
facilitate improved understanding of the hemodynamic
mechanisms by which portal hypertension affects the
function of the liver. In this retrospective analysis,
data acquired with an efficient 4D phase velocity
imaging method was analyzed to assess flow to the
hepatic vasculature. Data from 17 participants, 10 with
portal hypertension and 7 controls were evaluated.
Compared to healthy controls, patients with portal
hypertension demonstrated increased blood flow through
the portal vein.
|
11:30 |
729. |
4-dimensional magnetic
resonance velocity mapping of blood flow patterns in chronic
aortic dissections at 3T
Alex Frydrychowicz1, Michael Markl2,
Eric Niespodzany1, Christian Schlensak3,
Mark Schiebler1, and Christopher J François1
1Department of Radiology, University of
Wisconsin - Madison, Madison, WI, United States, 2Department
of Radiology, Medical Physics, University Hospital
Freiburg, Freiburg, Germany, 3Department
of Cardiac Surgery, University Hospital Freiburg,
Freiburg, Germany
The aim of this study was to evaluate the hemodynamics
in patients with chronic aortic dissection using 4D
velocity mapping. A large variety of altered flow
patterns was observed associated with different extents
of disease, vessel dilatation, and post therapeutic
anatomy. In contrast to well-described normal aortic
flow patterns, a multitude of additional vortices and
helices was observed in these patients, indicating a
high degree of potentially abnormal, disorganized flow.
Changes in secondary flow patterns were also present,
such as enhanced retrograde flow. This study
demonstrates the feasibility of using 4D velocity
mapping for the hemodynamic evaluation of chronic aortic
dissection.
|
11:42 |
730. |
Analysis of Reynolds,
Strouhal and Womersley numbers in the healthy thoracic aorta
Aurelien F Stalder1,2, Alex Frydrychowicz3,
Max F Russe2, Jan G Korvink4,5,
Jürgen Hennig2, Kun Cheng Li1, and
Michael Markl2
1Dept. of Radiology, Xuanwu Hospital of
Capital Medical University, Beijing, China, People's
Republic of, 2Dept.
of Radiology - Medical Physics, University Hospital
Freiburg, Germany, 3Dept.
of Radiology, University of Wisconsin, Madisson, United
States, 4Dept.
of Microsystems Engineering, University of Freiburg,
Germany, 5Freiburg
Institute for Advanced Studies (FRIAS), Freiburg,
Germany
Turbulence and velocity fluctuations of the blood flow
are believed to play a role in hemolysis, platelet
activation and thrombus formation. Based on
flow-sensitive MRI, Reynolds, Womersley & Strouhal
numbers were measured in-vivo at 8 planes along the
thoracic aorta in 30 healthy volunteers. The onset of
turbulence (supra-critical Reynolds numbers) was
evaluated based on a previous model describing the
transition to turbulence for pulsatile flow. Onset of
turbulence was most prominent in the ascending aorta and
distal descending aorta. The results were shown to be
statistically correlated with sex, body weight, aortic
diameter and cardiac output.
|
11:54 |
731. |
Accelerated Phase-Contrast
MRI using Compressed Sensing and Parallel Imaging
Daniel Kim1, Hadrien A Dyvorne1,
Ricardo Otazo1, Daniel K Sodickson1,
and Vivian S Lee1
1Radiology, Center for Biomedical Imaging,
New York University School of Medicine, New York, New
York, United States
Phase-contrast (PC) MRI is a promising modality for
studying hemodynamics associated with pathophysiology,
such as liver vascular flows in cirrhosis. A major
disadvantage of PC MRI, however, is its low data
acquisition efficiency, which may limit the achievable
spatial and temporal resolutions within a clinically
acceptable breath-hold duration. This study describes a
method to accelerate PC MRI using compressed sensing and
parallel imaging to jointly exploit image sparsity and
coil sensitivity encoding. Seven healthy volunteers were
imaged in hepatic and portal veins to validate
accelerated PC MRI against PC MRI with GRAPPA. The
resulting flow measurements were in good agreement.
|
12:06 |
732. |
Pulse Wave Velocity
Assessment in a Single Breathhold using Compartment k-t PCA
Daniel Giese1,2, Tobias Schaeffter1,
and Sebastian Kozerke1,2
1Division of Imaging Sciences and Biomedical
Engineering, King's College London, London, United
Kingdom, 2Institute
for Biomedical Engineering, Univeristy and ETH Zurich,
Zurich, Switzerland
Pulse wave velocity assessment using cine phase-contrast
measurements suffers from long scan times due to the
required high temporal resolution. We propose the
acquisition of highly undersampled phase-contrast data
in combination with compartment k-t PCA
to enable acquisition of two flow encoded slices through
ascending and descending aorta with a temporal
resolution of under 10ms in a single breathhold. It is
shown that the calculated pulse wave velocities compare
well with literature values and show strong correlation
with velocities measured using conventional fully
sampled data acquisitions.
|
12:18 |
733. |
Automated Cardiac Strain
Estimation from 2D Cine DENSE MRI
Andrew D. Gilliam1, Xiaodong Zhong2,
Kenneth C Bilchick3, and Frederick H Epstein4
1Andrew D. Gilliam Consulting, Providence,
RI, United States, 2MR
R&D Collaborations, Siemens Healthcare, Atlanta, GA,
United States, 3Cardiology,
University of Virginia, Charlottesville, VA, United
States, 4Radiology
& Biomedical Engineering, University of Virginia,
Charlottesville, VA, United States
Displacement encoding with stimulated echoes (DENSE)
directly encodes tissue displacement into MR images,
providing easy access to vital physiological information
such as cardiac strain. Unfortunately, the
quantification of displacement and strain from raw cine
DENSE imagery currently relies on the manual delineation
of cardiac anatomy. In this study, we present the first
fully automated solution to estimate cardiac strain from
2D cine DENSE images. Results indicate good agreement
between the innovative automated analysis algorithm and
previously described methods.
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