A Bayesian framework for global tractography

We readdress the diffusion tractography problem in a global and probabilistic manner. Instead of tracking through local orientations, we parameterise the connexions between brain regions at a global level, and then infer on global and local parameters simultaneously in a Bayesian framework. This app...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Fla.), 2007-08, Vol.37 (1), p.116-129
Hauptverfasser:	Jbabdi, S., Woolrich, M.W., Andersson, J.L.R., Behrens, T.E.J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Animals Bayes Theorem Brain - anatomy & histology Brain Mapping - methods Brain research Computer Graphics Diffusion Magnetic Resonance Imaging - methods Dominance, Cerebral - physiology Frontal Lobe - anatomy & histology Geniculate Bodies - anatomy & histology Hand - innervation Haplorhini Humans Image Processing, Computer-Assisted - methods Imaging, Three-Dimensional - methods Magnetic Resonance Imaging - methods Medical research Models, Statistical Motor Cortex - anatomy & histology Nerve Fibers - ultrastructure Nerve Net - anatomy & histology Neural Networks, Computer Parietal Lobe - anatomy & histology Prefrontal Cortex - anatomy & histology Putamen - anatomy & histology Software Temporal Lobe - anatomy & histology Thalamus - anatomy & histology Visual Cortex - anatomy & histology
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