Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm

IEEE Transactions on Medical Imaging

Volumn 20, Issue 1, 2001, Pages 45-57

  Zhang, Yongyue ^a,b   Brady, Michael ^b   Smith, Stephen ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Bias field correction; Expectation maximization; Hidden Markov random field; MRI; Segmentation

Indexed keywords

ALGORITHMS; BRAIN; FINITE ELEMENT METHOD; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MARKOV PROCESSES; MATHEMATICAL MODELS; NEUROLOGY;

BIAS FIELD CORRECTION; EXPECTATION-MAXIMIZATION ALGORITHM; FINITE MIXTURE MODEL; HIDDEN MARKOV RANDOM FIELD;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; BRAIN; HISTOLOGY; HUMAN; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PROBABILITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BRAIN; HUMANS; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MARKOV CHAINS;

EID: 0034745001     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.906424     Document Type: Article

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