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Introduction
Richard L. Ehman |
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16:12 |
632. |
Wide
Dynamic Range MR Elastography of Liver
Dieter Klatt1,
Detlef Stiller2, Thomas Kaulisch2,
Heiko Nießen2, Kerstin Riek1,
Sebastian Papazoglou1, Thomas Elgeti1,
Ingolf Sack1, Jürgen Braun3
1Institute of Radiology, Charité
- University Medicine Berlin, Berlin, Germany; 2Boehringer
Ingelheim Pharma GmbH & Co. KG, Biberach, Germany; 3Institute
of Medical Informatics, Charité - University Medicine
Berlin, Berlin, Germany
MR elastography (MRE) enables
the measurement of the complex shear modulus G* of
biological tissue. Using MRE, the frequency dependency of G*
has been examined in the past within a limited dynamic range
due to inherent technical restrictions. In this study, G* of
liver in a wide dynamic range of more than 4.5 octaves was
measured by combining MRE at a 1.5T human scanner system
with MRE at a 7T animal scanner. The results of both systems
agreed excellently and revealed a power-law behavior of G*
between 25Hz and 600Hz vibration frequency. The springpot-model
was used for calculating viscoelastic parameters. |
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16:24 |
633. |
Frequency
Dependence of Mouse Brain Tissue Stiffness Measured in Vivo
with MR Elastography
Erik
Holt Clayton1, Joel R. Garbow2, Philip
V. Bayly1,3
1Mechanical Aerospace &
Structural Engineering, Washington University in St. Louis,
Saint Louis, MO, United States; 2Biomedical MR
Laboratory, Mallinckrodt Institute of Radiology, Washington
University School of Medicine, Saint Louis, MO, United
States; 3Biomedical Engineering, Washington
University in St. Louis, Saint Louis, MO, United States
Multifrequency MR
elastography (MRE) has been used to measure mechanical
stiffness of human brain tissue. The development of cancer
treatment protocols may benefit from similar studies in
rodent models. Here the viscoelastic material properties of
mouse brain were determined by MRE over a range of driving
frequencies (600 - 1800 Hz). A novel non-invasive brain
actuator was devised to introduce propagating shear waves.
Wave motion was imaged with a phase-locked spin echo pulse
sequence. Displacement data were inverted in a least-squares
manner to obtain complex modulus estimates. Results suggest
the frequency response of brain tissue may provide
diagnostic value. |
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16:36 |
634. |
Improving
Spatial Resolution of Strain-Encoded (SENC) Magnetic
Resonance Elastography (MRE) for Enhancing Stiff-Mass
Detection
Ahmed
Amr Harouni1, Jakir Hossain1, Michael
A. Jacobs2, Nael Fakhry Osman1,2
1Electrical and
Computer Engineering, Johns Hopkins University, Baltimore,
MD, United States; 2Department of Radiology,
Johns Hopkins University, Baltimore, MD, United States
Early detection through
periodic screening is the key to decrease beast cancer
mortality. Fast Strain-encoded (FSENC) MR with a limited
hardware was previously introduced to detect different
stiffness by measuring the strain. In this work, we
introduce a new hardware capable of periodically compressing
the breast, which allows us to achieve higher resolution
while maintaining same SNR by prolonging scan time. Simple
controls and redundant safety measures were added to ensure
accurate, repeatable and safe in-vivo experiments. Results
show that high-resolution SENC images have four-fold CNR
increase relative to low-resolution FSENC images, which
leads to better tumor detection. |
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16:48 |
635. |
Focused
Acoustic Driver to Generate High-Frequency Shear Waves in
Deep Regions for Magnetic Resonance Elastography
Mikio Suga1,2,
Takayuki Obata2, Masashi Sekine3,
Masaya Hirano4, Hisayuki Miura5, Ken
Arai5, Shinya Ozawa5, Hiroo Ikehira2
1Graduate School of
Technology, Chiba University, Chiba , Japan; 2Molecular
Imaging Center, National Institute of Radiological Sciences,
Chiba, Japan; 3Research Center for Frontier
Medical Engineering, Chiba University, Japan; 4GE
Healthcare Japan, Tokyo, Japan; 5Graduate School
of Technology, Chiba University, Chiba, Japan
Magnetic resonance
elastography (MRE) can noninvasively visualize shear waves
patterns within tissue. To acquire an accurate shear modulus
map in high spatial resolution in deep regions, external
drivers must generate a precisely controlled high frequency
and a large amplitude vibration. In this study, we develop a
simple and robustly designed focused acoustic driver to
enhance shear wave amplitude in deep regions by high
frequency using a piezoelectric actuator. From the results
of the experimental studies, it was shown that the focused
acoustic driver increases the SNR of the shear wave image in
the deep region and improves shear modulus quantitatively. |
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17:00 |
636. |
Effect of
Off-Frequency Encoding in Magnetic Resonance Elastography
Curtis L. Johnson1,
Danchin Chen1, Harish Sharma2, Bradley
P. Sutton2,3, William C. Olivero2,4,
John G. Georgiadis1,2
1Mechanical
Science and Engineering Department, University of Illinois
at Urbana-Champaign, Urbana, IL, United States; 2Beckman
Institute for Advanced Science and Technology, University of
Illinois at Urbana-Champaign, Urbana, IL, United States;
3Bioengineering Department, University of
Illinois at Urbana-Champaign, Urbana, IL, United States;
4Department of Neurosurgery, University of
Illinois at Urbana-Champaign, Urbana, IL, United States
The effects of encoding
displacement at a frequency other than the driving frequency
with Magnetic Resonance Elastography (MRE) were
investigated. Off-frequency responses can occur due to
possible nonlinearities in the overall dynamic system being
actuated. Results demonstrated that undesired off-frequency
encoding could result in errors in mean estimated stiffness
of tissue, as well as local fluctuations in estimated
stiffness, which will have implications for MRE with
nonlinear dynamic systems. |
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17:12 |
637. |
SSFSE
Sequence for Fast Elastography in the Presence of
Susceptibility
Ken-Pin Hwang1,2,
Zhenghui Zhang3, Brandy J. Reed4,
Michelle L. Underwood4, Roger Jason Stafford4,
Peggy T. Tinkey5, David C. Alsop6,7,
Rajesh Uthamanthil5
1Applied
Science Laboratory, General Electric Healthcare, Houston,
TX, United States; 2Department of Imaging
Physics, UT MD Anderson Cancer Center, Houston, TX, United
States; 3GE Healthcare, Waueksha, WI, United
States; 4Department of Imaging Physics,
University of Texas MD Anderson Cancer Center, Houston, TX,
United States; 5Department of Veterinary Medicine
and Surgery, University of Texas MD Anderson Cancer Center,
Houston, TX, United States; 6Department of
Radiology, Beth Israel Deaconess Medical Center, Boston, MA,
United States; 7Department of Radiology, Harvard
Medical School, Boston, MA, United States
The use of a modified phase
contrast gradient echo sequence has been shown to be a
robust technique for MR elastography of the liver. However,
each phase encoded view requires long motion encoding
gradients that extended the echo time, making the sequence
sensitive to susceptibility and lengthening overall
acquisition time. In this work we combine a motion encoding
preparation sequence with an SSFSE sequence originally
designed for diffusion weighted imaging. Phase information
from a single set of motion encoding gradients is preserved
for each echo in the echo train, thus accelerating
acquisition in a spin echo based sequence. |
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17:24 |
638. |
Improvements in Shear Modulus Reconstruction In-Vivo Breast
Data Using a Viscoelasitc Material Model in Optimization
Driven Mr Elastography
Matthew Mcgarry1, Irina Perreard2,
Adam Jeffry Pattison1, Elijah van Houten3,
John Weaver2, Keith Paulsen1
1Thayer School of Engineering,
Dartmouth College, Hanover, NH, United States; 2Department
of Radiology, Dartmouth-Hitchcock Medical Center, Lebanon,
NH, United States; 3Department of Mechanical
Engineering, University of Canterbury, Christchurch, New
Zealand
This work demonstrates the
improvements in in-vivo breast shear modulus reconstruction
gained through considering the effects of viscoelasticity in
a model-based, optimization driven MR elastography
algorithm. Three cases with 12 reconstructions are presented
where increased shear modulus in the region of a malignant
tumor is apparent using a viscoelastic material model. It is
shown that using an undamped linear elastic model produces
inconclusive results. The improvements are due to a
reduction in the model-data mismatch by using a viscoelastic
model to fit tissue, which is known to have a significant
viscous component. |
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17:36 |
639. |
Validity
Study of Spin Echo EPI Based Hepatic MR Elastography at 3.0T
David W. Stanley1,
Kevin J. Glaser2, Meng Yin2, Jun Chen2,
Richard L. Ehman2
1MR, GE Healthcare,
Proctor, MN, United States; 2Department of
Radiology, Mayo Clinic, Rochester, MN, United States
The purpose of this study was
to evaluate a SE-EPI MRE protocol and compare it to a
standard GRE MRE protocol at both 1.5T and 3.0T in healthy
volunteers with no known liver disease to determine if the
signal variations characteristic of the different imaging
sequences and field strengths cause a significant change in
the SNR of the data or adversely affect the estimates of
tissue stiffness. |
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17:48 |
640. |
Measuring
the Effect of Formalin Fixation on Ex Vivo Tissue Material
Properties Using High Resolution 3D Quasi-Static MR
Elastography at 7 Tesla for Improved Biomechanical
Registration of Histopathology, and Correlation with the
Effect of Fixation on T<su
Deirdre Maria McGrath1, Warren D. Foltz1,
Kristy K. Brock1,2
1Radiation Medicine Program,
Princess Margaret Hospital, Toronto, Ontario, Canada; 2Department
of Radiation Oncology, University of Toronto, Toronto,
Ontario, Canada
Correlation of 3D
histopathology with in vivo images improves the
understanding of disease representation in imaging. The
pathology fixation process changes the material properties
of tissue non-uniformly and if biomechanical registration is
used, measures of these effects are required. A high
resolution 3D quasi-static MR elastography (MRE) method at 7
T is presented for voxel-wise mapping of Young’s modulus
across tissue volumes, and is applied to ex vivo canine
prostate samples, pre- and post-fixation. The measures are
validated using indentation testing. The effect of fixation
on T1, T2 and ADC is also measured, to determine the
relationship with material property changes. |
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