A unifying framework for partial volume segmentation of brain MR images

IEEE Transactions on Medical Imaging

Volumn 22, Issue 1, 2003, Pages 105-119

  Van Leemput, Koen ^a   Maes, Frederik ^a   Vandermeulen, Dirk ^a   Suetens, Paul ^a  

^a UNIVERSITY HOSPITALS LEUVEN   (Belgium)

Author keywords

Expectation maximization; Markov random field; Monte Carlo sampling; MRI; Partial volume; Segmentation

Indexed keywords

BRAIN; COMPUTER SIMULATION; IMAGE SEGMENTATION; MONTE CARLO METHODS; OPTIMIZATION; PARAMETER ESTIMATION; RANDOM PROCESSES; TISSUE;

EXPECTATION-MAXIMIZATION APPROACH; INTENSITY BASED VOXEL CLASSIFICATION; MONTE CARLO SAMPLING; PARTIAL VOLUME; PARTIAL VOLUME SEGMENTATION;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPARATIVE STUDY; COMPUTER SIMULATION; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE QUALITY; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; QUALITY CONTROL; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGING, THREE-DIMENSIONAL; LIKELIHOOD FUNCTIONS; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; QUALITY CONTROL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 0037255814     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2002.806587     Document Type: Article

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