Unsupervised white matter fiber clustering and tract probability map generation: Applications of a Gaussian process framework for white matter fibers

NeuroImage

Volumn 51, Issue 1, 2010, Pages 228-241

  Wassermann, D ^a,c   Bloy, L ^b   Kanterakis, E ^b   Verma, R ^b   Deriche, R ^a  

^a INRIA   (France)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c UNIVERSIDAD DE BUENOS AIRES   (Argentina)

Author keywords

Clustering; Diffusion MRI; Gaussian process; White matter fiber tracts

Indexed keywords

ADULT; ARTICLE; AUTOMATION; CLUSTER ANALYSIS; CONTROLLED STUDY; DIFFUSION WEIGHTED IMAGING; FEMALE; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; MALE; MATHEMATICAL MODEL; NERVE TRACT; NORMAL DISTRIBUTION; NORMAL HUMAN; PRIORITY JOURNAL; PROBABILITY; QUANTITATIVE ANALYSIS; WHITE MATTER;

ADULT; ALGORITHMS; ANATOMY, ARTISTIC; ATLASES AS TOPIC; AUTOMATION; BRAIN; CLUSTER ANALYSIS; COMPUTER SIMULATION; DATABASES, FACTUAL; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; NERVE FIBERS, MYELINATED; NEURAL PATHWAYS; NORMAL DISTRIBUTION; ORGAN SIZE; PROBABILITY;

EID: 77950535098     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.01.004     Document Type: Article

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