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Abstract #0066

Spherical Deconvolution of Non-Spherically Sampled Diffusion MRI Data

Jan Morez1, Jan Sijbers1, and Ben Jeurissen1

1Vision Lab, Dept. of Physics, University of Antwerp, Antwerp, Belgium

Multi-tissue spherical deconvolution of multi-shell diffusion MRI data allows for simultaneous estimation of the white matter fiber orientation distribution function and the apparent densities of cerebrospinal fluid and grey matter. Current spherical deconvolution approaches require that the q-space samples are distributed across shells. Here we propose a new algorithm that allows one to perform spherical deconvolution on data obtained with non-spherical sampling schemes. The algorithm is demonstrated on real data with both spherical and cartesian sampling schemes.

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