16:30 |
0202. |
Quantitative Magnetization
Transfer Imaging of Human Sciatic Nerve at 3 Tesla
Richard D. Dortch1,2, Lindsey M. Dethrage2,
Ke Li1,2, Bruce M. Damon1,2, John
C. Gore1,2, and Seth A. Smith1,2
1Radiology and Radiological Sciences,
Vanderbilt University, Nashville, TN, United States, 2Vanderbilt
University Institute of Imaging Science, Vanderbilt
University, Nashville, TN, United States
Previous work has demonstrated that the
macromolecular-to-free proton pool size ratio (PSR)
is related to myelin content; yet, no studies have
reportedPSR mapping
in peripheral nerves in
vivo. This can be attributed to the challenges of
quantitative magnetization transfer (qMT) imaging in
nerve, including the influence of fat and the need for
higher resolution. The goal of this work was to develop
qMT approaches for the currently inaccessible (via
electrophysiology) sciatic nerves of healthy controls as
a baseline for future studies in neuropathy patients.
Our findings demonstrate that PSR can
be robustly measured in the sciatic nerve in
vivo.
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16:42 |
0203. |
Reproducibility of in
vivo inner
and outer cortical magnetisation transfer ratio measurements
Rebecca Sara Samson1, Manuel Jorge Cardoso2,3,
Nils Muhlert1, Varun Sethi1, Maria
A Ron1, Sebastian Ourselin2,3,
David H Miller1, Declan T Chard1,
and Claudia A M Wheeler-Kingshott1
1NMR Research Unit, Department of
Neuroinflammation, Queen Square MS Centre, UCL Institute
of Neurology, London, United Kingdom, 2Centre
for Medical Image Computing, UCL Department of Computer
Sciences, UCL, London, United Kingdom, 3Dementia
Research Centre, Department of Neurodegenerative
Diseases, UCL Institute of Neurology, London, United
Kingdom
A previous study suggests that outer cortical
magnetization transfer ratio (MTR) has the potential to
be a sensitive measure of pathology that is linked to
clinical disease progression in relapse-onset multiple
sclerosis. However, to determine the utility of the
inner and outer cortical MTR measurement method it is
important to determine the reproducibility of the
technique. Here we demonstrate that inner and outer
cortical MTR have coefficients of variation of 1.23% and
0.99% respectively.
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16:54 |
0204. |
Magnetization Transfer
Ratio (MTR) With a Periodic MT Pulse and Zero Echo Time (ZTE)
Acquisition for Imaging White Matter Disease
James H Holmes1, Alexey Samsonov2,
Patrick A Turski2, Aaron S Field2,
and Kevin M Johnson3
1Global MR Applications and Workflow, GE
Healthcare, Madison, WI, United States, 2Radiology,
University of Wisconsin-Madison, Madison, WI, United
States, 3Medical
Physics, University of Wisconsin-Madison, Madison, WI,
United States
We demonstrate the combination of a magnetization
transfer (MT) preparation pulse and a zero TE (ZTE)
imaging data acquisition. This work shows the potential
for a MR ratio (MTR) imaging of white mater disease
using an intermittent MT preparation pulse to reduce SAR
and scan time. The ZTE acquisition enables visualization
of short T2 species while providing the benefit of low
acoustic noise to improve patient comfort.
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17:06 |
0205. |
Biophysical Abnormalities
in Fronto-Striato-Thalamic Circuits in Type 2 Diabetes
Revealed by Magnetization Transfer Imaging
Shaolin Yang1,2, Olusola Ajilore1,
Minjie Wu1, Melissa Lamar1, and
Anand Kumar1
1Department of Psychiatry, University of
Illinois at Chicago, Chicago, IL, United States, 2Department
of Radiology, University of Illinois at Chicago,
Chicago, IL, United States
A cross-sectional study using magnetization transfer
ratio (MTR) imaging was performed to examine the
biophysical integrity of macromolecular protein pools in
gray matter and white matter of the
fronto-striato-thalamic circuits in patients with type 2
diabetes mellitus (T2DM) and comparison controls to
determine the impacts of T2DM on the abnormalities of
human brain. Compared with non-diabetic controls, T2DM
patients had significantly lower MTR in dorsal anterior
cingulate cortex (ACC) and head of caudate nucleus (hCaud),
also with a tendency to significance in rostral ACC. The
compromised MTRs were correlated with T2DM-related
clinical measures and neuropsychological performance in
distinct domains.
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17:18 |
0206.
|
Age-related changes of the
bound pool fraction in white matter
Lukas Pirpamer1, Florian Franz Erich Borsodi1,
Gernot Reishofer2, Christian Langkammer1,
Reinhold Schmidt1, and Stefan Ropele1
1Department of Neurology, Medical University
of Graz, Graz, Austria, 2Department
of Radiology, Medical University of Graz, Graz, Austria
The bound pool fraction (BPF) is a fundamental parameter
for magnetization transfer and therefore expected to be
more sensitive for age-related tissue changes compared
to the conventional MTR. This study investigated the
change of the BPF in several white-matter regions
assessed over age in a normal aging cohort. This study
confirms the higher sensitivity of the BPF in particular
for WM regions that are susceptible for developing age
related white matter hyperintensities.
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17:30 |
0207.
|
Analysis and Optimization
of Quantitative Magnetization Transfer Imaging Considering
the Effect of Non-Exchanging Component
Pouria Mossahebi1, Andrew L Alexander2,3,
Aaron S Field1,4, and Alexey A Samsonov4
1Biomedical Engineering, University of
Wisconsin, Madison, WI, United States, 2Medical
Physics, University of Wisconsin, Madison, WI, United
States,3Waisman Lab for Brain Imaging and
Behavior, University of Wisconsin, Madison, WI, United
States, 4Radiology,
University of Wisconsin, Madison, WI, United States
Gray matter demyelination has recently been recognized
as an important pathological substrate of MS disease. MT
imaging approaches has demonstrated high sensitivity to
myelination in white matter. Its applications to
cortical GM characterization, however, we have to take
into account additional factors related to anatomical
organization of cortical GM such as partial volume
effect (PVE) with CSF. We have proposed a qMT imaging
(NE-mCRI) approach that allows isolating a
non-exchanging (NE) voxel compartment with distinct
relaxation properties such as CSF. In this work, we
analyze the effect of NE component on MTR and mCRI
parameters and provide results of numerical, phantom and
in-vivo validation of the approach as a way to minimize
underestimation of qMT measures due to PVE.
Additionally, we developed a fast-optimized protocol for
in-vivo application of NE-mCRI.
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17:42 |
0208. |
High-resolution
quantitative magnetization transfer imaging of post-mortem
marmoset brain
Henrik Marschner1, André Pampel1,
Roland Müller1, Nicholas A. Bock2,
Marcel Weiss1,3, Stefan Geyer1,
and Harald E. Möller1
1Max Planck Institute for Human Cognitive and
Brain Sciences, Leipzig, Saxony, Germany, 2McMaster
University, Ontario, Canada, 3University
of Amsterdam, North Holland, Netherlands
We present results of quantitative magnetization
transfer imaging (qMTI) in high resolution for
quantification of (qMT) parameters of otherwise MR-invisible
macromolecules. qMTI was performed on a post-mortem
marmoset brain at 3T and the results are compared to T1
mapping results obtained at 7T. The high resolution of
200 µm permits visualization of cortical substructures
in the marmoset brain, as presented for the stria of
Gennari. An analysis of correlation between the
macromolecular pool-size fraction and T1 shows different
linear regressions in white and gray matter. This
suggests i) different myelination contribution in both
contrast parameters, or ii) other contributing factors.
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17:54 |
0209. |
Magnetization Transfer from
Inhomogeneously Broadened Lines (ihMT): Effect of MT
Asymmetry on the ihMT Signal
Guillaume Duhamel1, Valentin Prevost1,
Gopal Varma2, David C Alsop2, and
Olivier Girard1
1CRMBM, CNRS 7339, Aix-Marseille Université,
Marseille, 13005, France, 2Radiology,
Beth Israel Deaconess Med. Center, Harvard Medical
School, Boston, MA, United States
A recent MT technique, referred as inhomogeneous MT (ihMT)
and able to reveal the inhomogenous component of the MR
spectrum has been proposed to specifically image the
myelinated structures. Contribution of MT asymmetry
effects in the ihMT signal is assessed in this study.
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18:06 |
0210. |
Quantitative magnetization
transfer imaging of rodent glioma using selective inversion
recovery
Junzhong Xu1, Ke Li1, Zhongliang
Zu1, Xia Li1, Dainel F Gochberg1,
and John C Gore1
1Institute of Imaging Science, Vanderbilt
University, Nashville, Tennessee, United States
This study demonstrates the first implementation of
quantitative MT imaging of cancer using selective
inversion recovery. In addition, a new SIR-EPI sequence
was developed to accelerate the acquisition but retain
the fitting accuracy of qMT parameters. The results
presented not only assist better understanding of the
changes in the macromolecular contents of tumors, but
also are important for quantifying other imaging
contrasts such as chemical exchange saturation transfer
(CEST) of tumors.
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18:18 |
0211. |
In-vivo quantitative
magnetization transfer imaging of de- and re-myelination in
cuprizone-treated mice and correlation with histology
Laura Turati1, Fulvio Baggi1,
Marco Moscatelli1, Alfonso Mastropietro2,3,
Ileana Zucca2, Alessandra Erbetta4,
Chiara Cordiglieri1, Greta Brenna1,
Nicholas Dowell5, Renato Mantegazza1,
Ludovico Minati2,5, and Mara Cercignani5,6
1Neuroimmunology and Neuromuscular Diseases
Unit, Neurological Institute "Carlo Besta", Milan,
Italy, 2Scientific
Department, Neurological Institute "Carlo Besta", Milan,
Italy, 3Department
of Electronic, Information and Bioengineering,
Politecnico of Milan, Milan, Italy, 4Neuroradiology
Unit, Neurological Institute "Carlo Besta", Milan,
Italy, 5CISC,
Brighton and Sussex Medical School, Falmer, East Sussex,
United Kingdom, 6Neuroimaging
Laboratory, IRCCS Santa Lucia, Rome, Italy
This paper presents a validation of the macromolecular
pool ratio (F) derived from quantitative magnetization
transfer (MT) imaging as myelin marker. In contrast with
previous work in this area, which focused on ex-vivo
validation, we used a reversible model of demyelination,
namely cuprizone-treated mice, to investigate changes in
F in the corpus callosum during demyelination and
remyelination in vivo. A strong linear relationship was
found between F and histological markers of myelin,
providing the first direct confirmation that F estimated
from quantitative MT imaging performed in-vivo is a
viable proxy of myelin.
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