A Comparison of Two Automated and Probabilistic Tract Segmentation Methods

Keywords

advantages ages although anisotropy applied approaches audience automate automated available avoid beginning bottom brain broader broadly child clear clinical coefficient cohort college comp comparing complex consistently consuming count coverage currently derived deviation diffusion dimensional dimensions division eight error establish extent five flash fluid forceps fractional freely front generally gold gradient grand guide health healthy hours immediately inferior influence institute intended intervention investigated isotropic kingdom larger latter leading longitudinal major make male manual maps mark minor model narrower near negligible note notes obvious overlaid overlaying package part partial pass performance pipeline pipelines potentially preprocessing prior probabilistic process processing produce prone pruning quickly random reconstructed required requirement requiring researchers resolution running scanner sciences segmentation segmentations segmented separate sets shapes sided since slightly space statistics structural structured studied subject subjects substantially summary table tend tends thresholded thresholding tools tract tractor tracts training transforming trend unsurprising variable variance variation volume volumes volunteer volunteers white