Automated assessment of tract similarity in group diffusion MRI data
Clayden J, Bastin M, Storkey A
University of Edinburgh
Automated white matter segmentation is a major aim of diffusion MRI based tractography, but no robust methodology yet exists for segmenting tracts consistently across a group of subjects. Presented here are the first results from a tract similarity algorithm that could be used as a basis for such a methodology. We demonstrate that the similarity score that we have developed indicates better matches for the ""same"" tract in different subjects, than for different tracts in the same subject. This could improve the reproducibility of group tract segmentation in diffusion MRI studies.