Fast joint detection-estimation of evoked brain activity in event-related fMRI using a variational approach

IEEE Transactions on Medical Imaging

Volumn 32, Issue 5, 2013, Pages 821-837

  Chaari, Lotfi ^a,b,c   Vincent, Thomas ^a,b,c   Forbes, Florence ^a,b   Dojat, Michel ^d   Ciuciu, Philippe ^c  

^a INRIA RHÔNE ALPES   (France)

^b UNIV GRENOBLE ALPES   (France)

^c CEA SACLAY   (France)

^d GRENOBLE INSTITUT DES NEUROSCIENCES   (France)

Author keywords

Expectation maximization (EM) algorithm; functional magnetic resonance imaging (fMRI); joint detection estimation; Markov random field; variational approximation

Indexed keywords

DETECTION AND ESTIMATION; EVENT RELATED FUNCTIONAL MAGNETIC RESONANCE IMAGING; EXPECTATION MAXIMIZATION; EXPECTATION-MAXIMIZATION ALGORITHMS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; MARKOV CHAIN MONTE CARLO; MARKOV RANDOM FIELDS; VARIATIONAL APPROXIMATION;

ADAPTIVE SYSTEMS; APPROXIMATION ALGORITHMS; BRAIN; ESTIMATION; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MARKOV PROCESSES; MAXIMUM PRINCIPLE; NEUROPHYSIOLOGY; PARAMETER ESTIMATION; PHYSIOLOGICAL MODELS; SHAPE OPTIMIZATION; VARIATIONAL TECHNIQUES;

INFERENCE ENGINES;

ALGORITHM; ARTICLE; BLOOD VESSEL REACTIVITY; BOLD SIGNAL; CONTRAST TO NOISE RATIO; ECHO PLANAR IMAGING; ELECTROENCEPHALOGRAM; ELECTROENCEPHALOGRAPHY; EVOKED RESPONSE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMICS; INFERIOR PARIETAL LOBULE; JOINT DETECTION ESTIMATION; MENTAL ARITHMETIC; MIDDLE FRONTAL GYRUS; MONTE CARLO METHOD; MOTOR PERFORMANCE; NERVE POTENTIAL; PROBABILITY; WHITE NOISE;

ALGORITHMS; BAYES THEOREM; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; DATABASES, FACTUAL; HEMODYNAMICS; HUMANS; MAGNETIC RESONANCE IMAGING; MARKOV CHAINS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84874508566     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2012.2225636     Document Type: Article

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