Topology-preserving tissue classification of magnetic resonance brain images

IEEE Transactions on Medical Imaging

Volumn 26, Issue 4, 2007, Pages 487-496

  Bazin, Pierre Louis ^a,b   Pham, Dzung L ^a,b  

^a IEEE   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

Brain anatomy; Digital topology; Image segmentation; Magnetic resonance imaging; Tissue classification

Indexed keywords

BRAIN ANATOMY; DIGITAL TOPOLOGY; TISSUE CLASSIFICATION; TOPOLOGY-PRESERVING, ANATOMY-DRIVEN SEGMENTATION (TOADS);

BRAIN; COMPUTATIONAL GEOMETRY; COMPUTER SIMULATION; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING;

TISSUE ENGINEERING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 34047136073     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2007.893283     Document Type: Article

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