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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