Abstract #0909
Histological metrics confirm microstructural characteristics of NODDI indices in multiple sclerosis spinal cord
Francesco Grussu 1 , Torben Schneider 1 , Richard L. Yates 2 , Mohamed Tachrount 3 , Jia Newcombe 4 , Hui Zhang 5 , Daniel C. Alexander 5 , Gabriele C. DeLuca 2 , and Claudia A. M. Wheeler-Kingshott 1
1
NMR Research Unit, Department of
Neuroinflammation, Queen Square MS Centre, UCL Institute
of Neurology, London, England, United Kingdom,
2
Nuffield
Department of Clinical Neurosciences, University of
Oxford, Oxford, England, United Kingdom,
3
Department
of Brain Repair and Rehabilitation, UCL Institute of
Neurology, London, England, United Kingdom,
4
NeuroResource,
UCL Institute of Neurology, London, England, United
Kingdom,
5
Department of Computer Science and
Centre for Medical Image Computing, University College
London, London, England, United Kingdom
Neurite orientation dispersion and density imaging
(NODDI) is a model-based diffusion MRI technique that
has shown promising results in the multiple sclerosis
(MS) brain. Here, we investigate its potential for the
spinal cord, which can have a high lesion load in MS. We
perform NODDI analysis on an
ex
vivo
specimen
of MS lumbar spinal cord at 9.4 T, and compare results
to quantitative histological features from the same
sample. We conclude that NODDI replicates the trends of
the histological indices, detecting specific features of
abnormal tissue, and therefore is potentially useful for
spinal cord imaging in MS.
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