Connecting and merging fibres: Pathway extraction by combining probability maps

NeuroImage

Volumn 43, Issue 1, 2008, Pages 81-89

  Kreher, B W ^a   Schnell, S ^a   Mader, I ^a   Il'yasov, K A ^a,b   Hennig, J ^a   Kiselev, V G ^a   Saur, D ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

^b KAZAN FEDERAL UNIVERSITY   (Russian Federation)

Author keywords

Anisotropic diffusion; Connectivity; DTI; MRI; WM

Indexed keywords

ARTICLE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; MONTE CARLO METHOD; NERVE CELL; NERVE FIBER; PRIORITY JOURNAL; PROBABILITY;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 52049121589     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2008.06.023     Document Type: Article

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