Dear FSL Group,
We have just started using FSL 4. So far, we were only doing
deterministic tractography using DTI images (acquired using 6 directional
gradient with six repetitions is each direction). Recently we acquired some
cases with 55 directions, and compared the probabilistic tract from both 6
and 55 directions and what we found was that the tracts(Corticospinal tract,
Arcuate fasciculus, optic radiation, and corpus callosum) with 55 directions
appeared bigger and more accurate than with 6 directions. Our questions are,
1) Can we use the six direction dti data sets to access the connectivity
based seed classification of cortical and subcortical structures? 2) Does
increasing the no of samples from 5000 to lets say 10000 help? (or Please
provide other suggestions) 3) Are our 6 direction DTI data sets useless for
probabilistic tractography? Thanks.
Rajkumar.M.G
Research Associate,
PET Center,
Children's Hospital of Michigan,
Detroit.
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