A Bayesian framework for global tractography

NeuroImage

Volumn 37, Issue 1, 2007, Pages 116-129

  Jbabdi, S ^a   Woolrich, M W ^a   Andersson, J L R ^a   Behrens, T E J ^a,b  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; BRAIN REGION; MATHEMATICAL MODEL; NEUROANATOMY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROBABILITY; TRACTOGRAPHY;

ALGORITHMS; ANIMALS; BAYES THEOREM; BRAIN; BRAIN MAPPING; COMPUTER GRAPHICS; DIFFUSION MAGNETIC RESONANCE IMAGING; DOMINANCE, CEREBRAL; FRONTAL LOBE; GENICULATE BODIES; HAND; HAPLORHINI; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; MOTOR CORTEX; NERVE FIBERS; NERVE NET; NEURAL NETWORKS (COMPUTER); PARIETAL LOBE; PREFRONTAL CORTEX; PUTAMEN; SOFTWARE; TEMPORAL LOBE; THALAMUS; VISUAL CORTEX;

EID: 34447560907     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2007.04.039     Document Type: Article

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