10:00 |
0348. |
Introduction
Mark D. Does
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10:12 |
0349.
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Feasibility of low q-space
diffusion MRI at 1.5T
Henry H. Ong1, Yusuf Bhagat1,
Jeremy Magland1, and Felix W. Wehrli1
1Laboratory for Structural NMR Imaging,
Departement of Radiology, University of Pennsylvania
School of Medicine, Philadelphia, PA, United States
A major limitation of q-space imaging is the need for
strong gradient amplitudes for sufficient displacement
resolution to accurately assess axonal architecture in
white matter. Low q-value diffusion MRI extracts
architectural information by fitting the q-space echo
decay at low q-values (q-1 >>
mean axon diameter) thus obviating the need for strong
gradient amplitudes, which greatly facilitates clinical
implementation. Here, we investigate the feasibility of
this method to assess axon architecture in excised fixed
porcine spinal cords at 1.5T. The results demonstrate
the potential of low q-value diffusion MRI to estimate
regional mean axon diameter and intracellular volume
fraction.
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10:24 |
0350.
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Mapping the axon diameter
index in the corpus callosum is clinically feasible
Torben Schneider1, Claudia A M
Wheeler-Kingshott1, and Daniel C Alexander2
1NMR Research Unit, Department of
Neuroinflammation, UCL Institute of Neurology,
University College London, London, United Kingdom, 2Centre
for Medical Image Computing, Department of Computer
Science, University College London, London, United
Kingdom
Diffusion imaging derived in-vivo estimates
of axonal microstructure have great potential as
clinical biomarkers in various neurological diseases,
but current approaches suffer from long scan times and
infeasible hardware requirements. In this study we
demonstrate a novel imaging protocol that achieves
high-resolution in-vivo axon diameter estimates in the
corpus callosum in only 35 minutes of scan time. We show
agreement of our estimates with reported histological
assessment of the corpus callosum and show good intra-
and inter-subject reproducibility in 5 healthy subjects.
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10:36 |
0351. |
Dependence of Temporal
Diffusion Spectroscopy on Axon Size in White Matter Tracts
of Rat Spinal Cord
Junzhong Xu1, Kevin D Harkins1, R
Adam Horch1, Mark D Does1, and
John C Gore1
1Institute of Imaging Science, Vanderbilt
University, Nashville, TN, United States
Conventional diffusion measurements use pulsed gradient
spin echo methods with relatively long diffusion times,
and require high b values to increase sensitivity to
smaller axons. In the current work, an oscillating
gradient spin echo (OGSE) method was used to acquire
temporal diffusion spectra with relatively short
diffusion times and low b values. The results show that
the temporal diffusion spectrum is sensitive to the mean
axon size of WM tracts of fixed rat spinal cord. A new
parameter R, i.e. dispersion rate of ADC vs gradient
frequency, is suggested as a sensitive indicator of mean
axon size.
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10:48 |
0352. |
Assessing exchange between
multiple compartments using multi-directional double wave
diffusion sequences
Casper Sønderby1, Henrik Lundell1,
and Tim B. Dyrby1
1Danish Research Centre of Magnetic
Resonance, Copehagen University Hospital Hvidovre,
Hvidovre, Denmark
The apparent exchange rate (AXR) has recently been
proposed as a model free measure of water diffusional
exchange processes. The dependency of AXR upon
measurement directions is investigated. It is proposed
that different compartmental exchange rates are measured
when altering the measurement direction and hence AXR is
not a rotational invariant measure. A novel double wave
diffusion sequence is proposed and used for ex-vivo
experiments in gray matter of a fixated monkey brain and
the rotational dependency of AXR is demonstrated.
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11:00 |
0353. |
Apparent Diffusion
Coefficient Pattern Under Different Diffusion Times in OGSE
Yanwei Wang1, Blake Walters1, and
Jae K. Kim1
1Thunder Bay Regional Research Institute,
Thunder Bay, On, Canada
This work has used Monte Carlo simulation to study the
apparent diffusion coefficient (ADC) behavior at
different diffusion time under different microstructure
models and multiple gradient powers in OGSE. Study shows
a strong dependence of ADC on the diffusion time and
consistently convergent behavior which is microstructure
specific. This converged free diffusion coefficient at
sufficiently fast diffusion time (high frequency) would
be used to distinguish the microstructure. An experiment
using PGSE and customized OGSE in a clinical GE3.0T at 5
Gauss per cm is reported. Consistent behavior with
simulation result is achieved which highlights the
potential ability of OGSE.
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11:12 |
0354. |
In Vivo Investigation of
Restricted Diffusion in Human Brain Using Oscillating
Diffusion Gradients
Anh Tu Van1, Samantha J Holdsworth1,
and Roland Bammer1
1Center for Quantitative Neuro Imaging,
Radiology, Stanford University, Palo Alto, CA, United
States
Cosine-modulated diffusion gradients were used in
combination with tetrahedral diffusion encoding to
achieve the minimum diffusion time of 4 ms at an
acceptable b-value and echo time on a standard 3 T human
MRI system. At these short diffusion times, on three
healthy volunteers, the measured ADCs at the genu of the
corpus callosum start to show the time dependent
characteristic of restricted diffusion.
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11:24 |
0355. |
DTI using modulated
gradients at short effective diffusion times
Henrik Lundell1, Casper Kaae Sønderby1,
Lise Vejby Søgaard1, and Tim Bjørn Dyrby1
1Copenhagen University Hospital Hvidovre,
Danish Research Centre for Magnetic Resonance, Hvidovre,
Copenhagen, Denmark
Assessment of short term self diffusion processes using
oscillating gradient techniques is a topic of recent
interest with promising applications in microstructure
imaging. In this study we implement a trapezoidal
modulated gradient sequence for diffusion tensor imaging
and apply it on a perfusion fixed monkey brain sample.
We find increased diffusivities in white matter at short
effective diffusion times, but overall maintained
anisotropy. However, new features emerge at short
diffusion times that could be related to microstructures
not visible with conventional techniques.
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11:36 |
0356.
|
Measurements of diffusion
at short and long time diffusion times at 17T in the rat
brain in vivo and postmortem using OGSE and PGSE methods and
a biexponential model
Nadya Pyatigorskaya1, Olivier Reynaud1,
Luisa Ciobanu1, and Denis Le Bihan1
1NeuroSpin, Gif sur Yvette, Ile de France,
France
OGSE and PGSE methods were combined to obtain
diffusion-weighted in-vivo and post-mortem images of 30
rats' brain gray matter at ultrahigh magnetic field
(17.2T) at various diffusion times. Diffusion parameters
were estimated using a biexponential model. ADC
decreases with increasing diffusion time and upon death
due to increase of slow-diffusing pool fraction, which
results from the interaction of water molecules with
cell membranes. The slow and fast diffusion coefficients
remain constant. OGSE approach combined with the
biexponential model, which allows controlling the time
of membranes-water molecules interaction, may be a
powerful tool for elucidating the mechanisms of
diffusion in tissues.
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11:48 |
0357. |
Optimised oscillating
gradient diffusion MRI for the estimation of axon radius in
an ex-vivo rat brain
Bernard Siow1,2, Andrada Ianus1,
Ivana Drobnjak1, Mark F Lythgoe2,3,
and Daniel C Alexander1
1Centre for Medical Image Computing, UCL,
London, United Kingdom, 2Centre
for Advanced Biomedical Imaging, UCL, London, United
Kingdom,3Institute of Child Health, UCL,
London, United Kingdom
We map axon radius index in the corpus callosum of an
ex-vivo rat brain using orientationally invariant
optimised oscillating gradient spin-echo (OGSE)
diffusion MRI protocols. Reliable estimates of axon
diameter estimates require high gradient amplitudes and
short diffusion times. OGSE sequences can have have
shorter diffusion times compared to Pulsed Gradient Spin
Echo (PGSE) sequences, thus allowing shorter length
scales to be probed. We optimised OGSE protocols and
estimated tissue microstructure parameters by adapting
the ActiveAx technique. We found that the estimated
parameters are consistent over all OGSE protocols
investigated. Furthermore, our results suggest that the
square wave OGSE protocol has greater precision compared
to the other OGSE protocols investigated.
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