Abstract #0477
Validation of NODDI estimation of dispersion anisotropy in V1 of the human neocortex
Maira Tariq 1 , Michiel Kleinnijenhuis 2 , Anne-Marie van Cappellen van Walsum 3,4 , and Hui Zhang 1
1
Department of Computer Science & Centre for
Medical Image Computing, University College London,
London, England, United Kingdom,
2
FMRIB
Centre, University of Oxford, Oxford, United Kingdom,
3
Department
of Anatomy, Radbound University, Nijmegen Medical
Centre, Nijmegen, Netherlands,
4
MIRA
Institute for Biomedical Technology and Technical
Medicine, Enschede, Netherlands
We present validation of a recently proposed technique
based on neurite orientation dispersion and density
imaging (NODDI), which allows estimation of the
dispersion anisotropy of neurites. Dispersion anisotropy
is an important feature to measure in vivo as it can
enable more accurate characterisation of complex fibre
configurations like fanning and bending. We use
high-resolution diffusion MRI data from ex-vivo samples
of human V1, to evaluate the metrics of the model. We
find that the measure of dispersion anisotropy obtained
from the NODDI model reflects the expected
cytoarchitecture of V1.
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