Young Investigator Award Oral Presentations
Click on
to view the abstract pdf and click on
to view the video presentation.
Monday May 9th
Room 710A |
14:00 - 16:00 |
Moderators: |
|
14:00 |
94. |
Magnetic Resonance
Elastography of Human Lung Parenchyma: Technical
development, theoretical modeling and in vivo validation
Yogesh kannan Mariappan1, Kevin Glaser1,
Rolf D Hubmayr2, Armando Manduca1,
Richard L Ehman1, and Kiaran P McGee1
1Department of Radiology, Mayo Clinic,
Rochester, MN, United States, 2Department
of Pulmonary and Critical Care medicine, Mayo Clinic,
Rochester, MN, United States
The purpose of this work was to develop magnetic
resonance elastography (MRE) for in
vivo assessment
of human lung. A modified 1H
spin echo MRE pulse sequence providing a short TE of 9.4
ms was used to acquire human lung MRE data at the
residual volume and the total lung capacity in 10
healthy volunteers. MRE-based density corrected
stiffness values at TLC were significantly higher than
those at the RV. These data indicate that 1H-based
MRE can noninvasively measure the shear stiffness of
lung parenchyma in vivo and can differentiate shear
stiffnesses at differing respiratory states.
|
14:20 |
95. |
Hyperpolarized Xenon-129
Gas-Exchange Imaging of Lung Microstructure: Preliminary
Results in Subjects with Obstructive Lung Disease
Isabel Dregely1, John P Mugler III2,
Iulian Constantin Ruset3, Talissa A Altes2,
Jamie F Mata2, G. Wilson Miller2,
Jeffrey Ketel3, Steve Ketel3, Jan
Distelbrinck3, F William Hersman1,3,
and Kai Ruppert2
1Physics, University of New Hampshire,
Durham, NH, United States, 2Radiology,
University of Virginia, Charlottesville, Virginia,
United States, 3Xemed
LLC, Durham, NH, United States
The purpose of this study was to develop and test a
method, Multiple exchange time Xenon polarization
Transfer Contrast (MXTC) MRI, to non-invasively assess
lung microstructure. The dynamic encoding of the xenon
gas-exchange contrast permits two parameters to be
derived regionally which are related to gas-exchange
functionality by characterizing the tissue to
alveolar-volume ratio and the alveolar wall thickness.
By quantifying simultaneously two lung function
parameters, MXTC provides a more comprehensive picture
of lung microstructure then existing lung imaging
techniques and could become an important non-invasive
and quantitative tool to characterize pulmonary disease
phenotypes.
|
14:40 |
96. |
3D+t Biventricular Strain
from Tagged Magnetic Resonance Images by Phase-Unwrapped
HARP
Bharath Ambale Venkatesh1, Himanshu Gupta2,
Steven G. Lloyd3, Louis Dell' Italia3,
and Thomas S. Denney Jr.4
1Electrical and Computer Engineering, Auburn
University, Auburn, Alabama, United States, 2University
of Alabama at Birmingham, United States, 3University
of Alabama at Birmingham, 4Auburn
University
Accurate assessment of ventricular function is
clinically important. In this abstract, a method for
reconstructing three-dimensional biventricular strain
over time from unwrapped harmonic phase measurements is
validated in normal volunteers and patients. The strain
obtained is compared to 3D strain obtained from a
feature-based method and 2D strain obtained from
harmonic phase strain measurements.
|
15:00 |
97. |
Multi-Coil Shimming of the
Mouse Brain
Christoph Juchem1, Peter B Brown1,
Terence W Nixon1, Scott McIntyre1,
Douglas L Rothman1, and Robin A de Graaf1
1MR Research Center, Yale University, New
Haven, CT, United States
The magnetic homogenization of the mouse brain with
dynamically updated multi-coil fields is presented. The
novel MC concept enabled the flexible and accurate
generation of complex magnetic field shapes that allowed
largely improved magnetic field homogenization of the
mouse brain at 9.4 Tesla compared to conventional
spherical harmonics shimming. The multi-coil shimming
technique paves the way for MR applications of the mouse
brain as a whole of parts thereof for which excellent
magnetic field homogeneity is a prerequisite.
|
15:20 |
98. |
Double-PFG MR as a novel
means for characterizing microstructures in grey matter
Noam Shemesh1, Ofer Sadan2, Daniel
Offen3, and Yoram Cohen1
1School of Chemistry, The Raymond and Beverly
Sackler Faculty of Exact Sciences, Tel Aviv University,
Tel Aviv, Israel, 2Department
of Neurology, Tel-Aviv Medical Center and the Sackler
School of Medicine, Tel Aviv University, Tel Aviv,
Israel, 3Laboratory
of Neurosciences, Felsenstein Medical Research Center,
Department of Neurology, Rabin Medical center, Israel
Double-Pulsed-Field-Gradient (d-PFG) MR is emerging as a
promising methodology for characterizing underlying
microstructural features in randomly oriented
anisotropic compartments, which are difficult to
characterize using conventional diffusion MR methods.
Here, d-PFG spectroscopy was performed on isolated pig
grey matter (GM). Angular dependencies in the E(ø) plots
were observed, indicating the presence of compartment
shape and microscopic anisotropies in the grey matter.
Angular d-PFG MRI was then performed in the rat brain
ex-vivo, showing that different GM regions indeed yield
different angular patterns, thus reporting on different
underlying microstructures within the GM. Therefore, d-PFG
MRI is promising for characterizing GM tissues.
|
15:40 |
99. |
Low-dimensional-Structure
Self-Learning and Thresholding (LOST): Regularization Beyond
Compressed Sensing for MRI Reconstruction
Mehmet Akcakaya1, Tamer Basha1,
Beth Goddu1, Lois Goepfert1, Kraig
V. Kissinger1, Vahid Tarokh2,
Warren J. Manning1, and Reza Nezafat1
1Medicine, Beth Israel Deaconess Medical
Center, Harvard Medical School, Boston, MA, United
States, 2School
of Engineering and Applied Sciences, Harvard University,
Cambridge, MA, United States
We develop an improved image reconstruction technique
for undersampled acquisitions that learns and utilizes
the structure of images being reconstructed. The results
of our retrospective study with coronary MRI imply that
the proposed method achieves higher acceleration rates
compared to conventional CS reconstructions. The pilot
prospective acquisitions confirm this finding, and
additionally show that our method provides superior
image quality at higher rates compared to traditional
parallel imaging reconstruction.
|
|