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Resolving crossing fibres using constrained spherical deconvolution: Validation using diffusion-weighted imaging phantom data
2008
NeuroImage
Diffusion-weighted imaging can potentially be used to infer the connectivity of the human brain in vivo using fibre-tracking techniques, and is therefore of great interest to neuroscientists and clinicians. A key requirement for fibre tracking is the accurate estimation of white matter fibre orientations within each imaging voxel. The diffusion tensor model, which is widely used for this purpose, has been shown to be inadequate in crossing fibre regions. A number of approaches have recently
doi:10.1016/j.neuroimage.2008.05.002
pmid:18583153
fatcat:ihc2s4f4xvh4hf2hkcgffyfvre