Modeling the population covariance matrices of block-iterative expectation-maximization reconstructed images

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3034, Issue , 1997, Pages 415-425

  Soares, Edward J ^a,c   Byrne, Charles L ^b   Pan, Tin Su ^c   Glick, Stephen J ^c   King, Michael A ^c  

^a Department of Biology   (United States)

^b University of Massachusetts Lowell   (United States)

^c UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

Author keywords

Block iterative image reconstruction; Covariance matrix; Expectation maximization; Noise characterization; Ordered subsets

Indexed keywords

ACOUSTIC INTENSITY; COVARIANCE MATRIX; DIGITAL IMAGE STORAGE; FADING (RADIO); IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGING SYSTEMS; MAXIMUM PRINCIPLE; MEDICAL IMAGING; OPTIMIZATION; REPAIR; RESTORATION; SIGNAL TO NOISE RATIO;

BLOCK-ITERATIVE IMAGE RECONSTRUCTION; CLOSE APPROXIMATIONS; DERIVED EXPRESSIONS; DISK OBJECTS; EXPECTATION-MAXIMIZATION; ITERATION NUMBERS; LOCAL COVARIANCES; MAXIMUM-LIKELIHOOD; NOISE CHARACTERIZATION; NOISY IMAGES; ORDERED SUBSETS; RECONSTRUCTED IMAGES; RECONSTRUCTION METHODS; SAMPLE COVARIANCES; SAMPLE VARIANCES; SECOND-ORDER STATISTICS; SIGNAL-TO-NOISE RATIOS;

POPULATION STATISTICS;

EID: 57649174346     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.274128     Document Type: Conference Paper

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