Spatially adaptive mixture modeling for analysis of fMRI time series

IEEE Transactions on Medical Imaging

Volumn 29, Issue 4, 2010, Pages 1059-1074

  Vincent, Thomas ^a,b   Risser, Laurent ^a,b   Ciuciu, Philippe ^a,b  

^a DIF   (France)

^b IFR 49   (France)

Author keywords

Bayesian analysis; Estimation of partition function functional magnetic resonance imaging (fMRI); Ising field; Joint detection estimation; Markov random field (MRF); MCMC; Spatial mixture models

Indexed keywords

BAYESIAN ANALYSIS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; JOINT DETECTION; MARKOV RANDOM FIELD; PARTITION FUNCTIONS; SPATIAL MIXTURE MODELS;

APPROXIMATION THEORY; BAYESIAN NETWORKS; BRAIN; CHEMICAL ACTIVATION; ELECTRONIC EQUIPMENT MANUFACTURE; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MIXTURES; PHOTOLITHOGRAPHY; SIGNAL TO NOISE RATIO; STRUCTURAL FRAMES; TIME SERIES; TIME SERIES ANALYSIS;

ESTIMATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVOKED RESPONSE; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; EVOKED POTENTIALS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 77950391073     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2010.2042064     Document Type: Article

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