Activation detection in fMRI using a maximum energy ratio statistic obtained by adaptive spatial filtering

IEEE Transactions on Medical Imaging

Volumn 22, Issue 7, 2003, Pages 795-805

  Hossein Zadeh, Gholam Ali ^a,b   Ardekani, Babak A ^a   Soltanian Zadeh, Hamid ^b,c  

^a NATHAN S KLINE INSTITUTE FOR PSYCHIATRIC RESEARCH   (United States)

^b UNIVERSITY OF TEHRAN   (Iran)

^c HENRY FORD HEALTH SYSTEM   (United States)

Author keywords

Adaptive spatial filtering; FMRI activation detection; Permutation; Signal subspace

Indexed keywords

ADAPTIVE FILTERING; COMPUTER SIMULATION; CORRELATION METHODS; EIGENVALUES AND EIGENFUNCTIONS; MATRIX ALGEBRA;

ADAPTIVE SPACTIAL FILTERING;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; COGNITION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; CYTOLOGY; EVALUATION; EVOKED MUSCLE RESPONSE; FEEDBACK SYSTEM; FINGER; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MOVEMENT (PHYSIOLOGY); NERVE CELL; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; SIGNAL PROCESSING; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; EVOKED POTENTIALS, MOTOR; FEEDBACK; FINGERS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MOVEMENT; NEURONS; SIGNAL PROCESSING, COMPUTER-ASSISTED; VOLITION;

EID: 0041525255     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2003.815074     Document Type: Review

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