Brain tissue segmentation in MR images based on a hybrid of MRF and social algorithms

Medical Image Analysis

Volumn 16, Issue 4, 2012, Pages 840-848

  Yousefi, Sahar ^a   Azmi, Reza ^b   Zahedi, Morteza ^a  

^a SHAHROOD UNIVERSITY OF TECHNOLOGY   (Iran)

^b ALZAHRA UNIVERSITY   (Iran)

Author keywords

Ant colony optimization (ACO); Brain segmentation; Gossiping algorithm; Magnetic resonance image (MRI); Markov random field (MRF)

Indexed keywords

ABNORMALITY DETECTION; ANT COLONY OPTIMIZATION (ACO); BRAIN SEGMENTATION; BRAIN TISSUE; COMPUTATION BURDEN; ENERGY FUNCTIONS; MAGNETIC RESONANCE IMAGE (MRI); MAGNETIC RESONANCE IMAGES; MANUAL SEGMENTATION; MARKOV RANDOM FIELD; MINIMIZATION METHODS; MINIMUM SOLUTION; MONTE CARLO SIMULATION; MR IMAGES; MRI SEGMENTATION; MULTI-SPECTRAL; NEIGHBORHOOD INFORMATION; NOISY IMAGE; OPTIMUM SOLUTION; REAL IMAGES; REAL-TIME ENVIRONMENT; REALTIME PROCESSING; ROBUST SEGMENTATION; TIME-CONSUMING TASKS;

ARTIFICIAL INTELLIGENCE; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MONTE CARLO METHODS; SIMULATED ANNEALING;

ALGORITHMS;

ACCURACY; ALGORITHM; ARTICLE; AUTOMATION; BRAIN TISSUE; HUMAN; IMAGE ANALYSIS; MONTE CARLO METHOD; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SIMULATION; SOCIAL PARTICIPATION;

ALGORITHMS; BRAIN; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MARKOV CHAINS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84859428914     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2012.01.001     Document Type: Article

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