Sheet-like white matter fiber tracts: representation, clustering, and quantitative analysis

We introduce an automated and probabilistic method for subject-specific segmentation of sheet-like fiber tracts. In addition to clustering of trajectories into anatomically meaningful bundles, the method provides statistics of diffusion measures by establishing point correspondences on the estimated...

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Vydané v:	Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Ročník 14; číslo Pt 2; s. 191
Hlavní autori:	Maddah, Mahnaz, Miller, James V, Sullivan, Edith V, Pfefferbaum, Adolf, Rohlfing, Torsten
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Germany 2011
Predmet:	Adult Aged Aging Algorithms Brain - pathology Brain Mapping - methods Cluster Analysis Humans Image Processing, Computer-Assisted - methods Likelihood Functions Models, Statistical Nerve Fibers, Myelinated - pathology Probability
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