Likelihood-based hypothesis tests for brain activation detection from MRI data disturbed by colored noise: A simulation study

IEEE Transactions on Medical Imaging

Volumn 28, Issue 2, 2009, Pages 287-296

  Den Dekker, A J ^a   Poot, D H J ^b   Bos, R ^a   Sijbers, J ^b  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b UNIVERSITY OF ANTWERP   (Belgium)

Author keywords

Functional magnetic resonance imaging (fMRI); Generalized likelihood ratio test; Rao test; Statistical parametric maps; Time series analysis; Wald test

Indexed keywords

ADAPTIVE SYSTEMS; ALARM SYSTEMS; ATOMS; DISTRIBUTION FUNCTIONS; ERRORS; LINEAR REGRESSION; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MAXIMUM LIKELIHOOD ESTIMATION; MEDICAL IMAGING; MONTE CARLO METHODS; MULTIUSER DETECTION; OPTICAL PROJECTORS; REGRESSION ANALYSIS; RESONANCE; STATISTICAL TESTS; STATISTICS; TELECOMMUNICATION NETWORKS; TIME SERIES; TIME SERIES ANALYSIS; WHITE NOISE;

FUNCTIONAL MAGNETIC RESONANCE IMAGING (FMRI); GENERALIZED LIKELIHOOD RATIO TEST; RAO TEST; STATISTICAL PARAMETRIC MAPS; WALD TEST;

TESTING;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIKELIHOOD FUNCTIONS; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 59449084800     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2008.2004427     Document Type: Article

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