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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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