White Matter Tract Analysis in 454 Adults using Maximum Density Paths
نویسندگان
چکیده
We introduce a framework for population analysis of white matter tracts in diffusion weighted images. Our pipeline computes fibers from high angular resolution diffusion imaging (HARDI) images; it clusters the fibers incorporating prior knowledge from an atlas; the method then represents each fiber bundle compactly using a path following points of highest density (maximum density path; MDP); and registers these paths together using geodesic curve registration to find local correspondences across a population. Our framework is tested with 454 subjects images using 4-Tesla HARDI to find localized statistics across 50 white matter tracts based on fractional anisotropy (FA) and sex differences. In addition, we compared the results with those derived with streamline tractography.
منابع مشابه
Automatic clustering and population analysis of white matter tracts using maximum density paths
We introduce a framework for population analysis of white matter tracts based on diffusion-weighted images of the brain. The framework enables extraction of fibers from high angular resolution diffusion images (HARDI); clustering of the fibers based partly on prior knowledge from an atlas; representation of the fiber bundles compactly using a path following points of highest density (maximum de...
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