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Abstract #0973

Brain tissue types resolved using spherical deconvolution of multi-shell diffusion MRI data

Ben Jeurissen 1 , Jacques-Donald Tournier 2,3 , Thijs Dhollander 4 , Alan Connelly 2,5 , and Jan Sijbers 1

1 iMinds-Vision Lab, University of Antwerp, Antwerp, Belgium, 2 The Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia, 3 Division of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom, 4 Medical Imaging Research Center, KU Leuven, Belgium, 5 The Florey Department of Neuroscience, University of Melbourne, Victoria, Australia

Constrained spherical deconvolution (CSD) has become one of the most widely used methods to estimate the white matter fibre orientation distribution function (fODF). However, CSD typically only supports data acquired on a single shell in q-space. In addition, CSD provides unreliable fODF estimates in voxels containing other tissue types than pure white matter. We propose a multi-shell CSD approach that exploits the multi-shell behaviour of different tissue types to estimate a multi-tissue ODF. Our method produces tissue volume fraction maps straight from the diffusion weighted data and provides significantly improved white matter fODF estimates at the tissue interfaces.

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