Independent component analysis using prior information for signal detection in a functional imaging system of the retina

Medical Image Analysis

Volumn 15, Issue 1, 2011, Pages 35-44

  Barriga, E Simon ^a,b   Pattichis, Marios ^a   Ts'o, Dan ^c   Abramoff, Michael ^d   Kardon, Randy ^d   Kwon, Young ^d   Soliz, Peter ^b,d  

^a University of New Mexico   (United States)

^b VisionQuest Biomedical   (United States)

^c SUNY UPSTATE MEDICAL UNIVERSITY   (United States)

^d UNIVERSITY OF IOWA   (United States)

Author keywords

Functional imaging; Independent component analysis; Retina; Visual stimulation

Indexed keywords

ANIMAL EXPERIMENTS; CONFIDENCE VALUES; DATA SIMULATION; FUNCTIONAL IMAGING; FUNCTIONAL SIGNALS; HIGH SNR; ICA ALGORITHMS; IN-VIVO; INDEPENDENT COMPONENTS; INFOMAX ALGORITHMS; LEVELS OF DETECTIONS; LOW LEVEL; MIXING MATRIX; PIXEL INTENSITIES; PRIOR INFORMATION; REFLECTANCE CHANGES; RETINA; SIGNAL EXTRACTION; SIGNAL LEVEL; SIGNAL-TO-BACKGROUND RATIO; STANDARD METHOD; STATISTICAL TECHNIQUES; TOLERANCE VALUES; VISUAL STIMULATION; VISUAL STIMULUS;

REFLECTION; SIGNAL DETECTION; SIGNAL PROCESSING;

INDEPENDENT COMPONENT ANALYSIS;

ALGORITHM; ANIMAL EXPERIMENT; ARTICLE; CAT; INDEPENDENT COMPONENT ANALYSIS; NONHUMAN; PRIORITY JOURNAL; RETINA; SIGNAL NOISE RATIO; STATISTICAL ANALYSIS; VIDEORECORDING; VISUAL STIMULATION;

ALGORITHMS; ANIMALS; CATS; COMPUTER SIMULATION; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; EVOKED POTENTIALS, VISUAL; IMAGE INTERPRETATION, COMPUTER-ASSISTED; OXIMETRY; PHOTIC STIMULATION; PHOTOMETRY; PRINCIPAL COMPONENT ANALYSIS; RETINA; RETINOSCOPES; RETINOSCOPY; VIDEO RECORDING;

EID: 78449261526     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2010.06.009     Document Type: Article

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