HRF Estimation in fMRI Data with an Unknown Drift Matrix by Iterative Minimization of the Kullback-Leibler Divergence

IEEE Transactions on Medical Imaging

Volumn 31, Issue 2, 2012, Pages 192-206

  Seghouane, Abd Krim ^a   Shah, Adnan ^a  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

Functional magnetic resonance imaging (fMRI); hemodynamic response function; Kullback Leibler divergence; maximum likelihood (ML) estimation

Indexed keywords

BLOCK DESIGNS; BRAIN REGIONS; FMRI DATA; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMIC RESPONSE FUNCTIONS; HYPERPARAMETERS; KULLBACK LEIBLER DIVERGENCE; MATRIX; MAXIMUM LIKELIHOOD (ML) ESTIMATION; NON-PARAMETRIC; NONPARAMETRIC METHODS; OBSERVED DATA; PARAMETRIC METHOD; RANDOM EFFECTS; TEMPORAL DYNAMICS; TIME SAMPLES;

ALGORITHMS; BRAIN; MAGNETIC RESONANCE IMAGING; MAXIMUM LIKELIHOOD;

ESTIMATION;

ALGORITHM; ARTICLE; ARTIFACT; BRAIN; BRAIN CIRCULATION; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFACTS; BRAIN; CEREBROVASCULAR CIRCULATION; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84856735470     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2011.2167238     Document Type: Article

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