Belief propagation based segmentation of white matter tracts in DTI

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5761 LNCS, Issue PART 1, 2009, Pages 943-950

  Bazin, Pierre Louis ^a   Bogovic, John ^a   Reich, Daniel ^a   Prince, Jerry L ^a   Pham, Dzung L ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BELIEF PROPAGATION; DATA SETS; DIFFUSION TENSOR; FIBER TRACTS; HEALTHY SUBJECTS; HUMAN BRAIN; IN-DIFFUSION; MULTIPLE SCLEROSIS; TRACTOGRAPHY; WHITE MATTER TRACTS;

DATA FLOW ANALYSIS; FIBERS; IMAGE SEGMENTATION; MEDICAL COMPUTING;

TENSORS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; DIFFUSION TENSOR IMAGING; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MYELINATED NERVE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84883846308     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04268-3_116     Document Type: Conference Paper

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