Toward realistic and practical ideal observer (10) estimation for the optimization of medical imaging systems

IEEE Transactions on Medical Imaging

Volumn 27, Issue 10, 2008, Pages 1535-1543

  He, Xin ^a   Caffo, Brian S ^b   Frey, Eric C ^a  

^a JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

Ideal observer; Markov chain Monte Carlo (MCMC)

Indexed keywords

CHLORINE COMPOUNDS; CONTROL THEORY; DIGITAL IMAGE STORAGE; ESTIMATION; IMAGING SYSTEMS; IMAGING TECHNIQUES; KNOWLEDGE BASED SYSTEMS; MAGNETOPLASMA; MARKOV PROCESSES; MEDICAL IMAGING; OBSERVABILITY; OPTOELECTRONIC DEVICES; SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY; STATISTICAL METHODS; STATISTICAL TESTS; STATISTICS; TESTING;

ATTENUATION ,; BINARY CLASSIFICATION; COMPLEX OBJECTS; COMPUTATIONAL BURDEN; CONTINUOUS SAMPLING; ESTIMATION TECHNIQUES; FINITE NUMBERS; IDEAL OBSERVER; IDEAL OBSERVERS; IMAGING PROCESSING; IMAGING SIMULATIONS; LINEAR COMBINATIONS; LINEAR IMAGING; MARKOV CHAIN MONTE CARLO (MCMC); MARKOV-CHAIN MONTE-CARLO; MYOCARDIAL PERFUSION; OBSERVER PERFORMANCES; PARAMETERIZED; POISSON NOISE; PRECOMPUTING; RECEIVER OPERATING CHARACTERISTIC CURVES; SECOND-ORDER STATISTICS; SPECT IMAGING; TEST STATISTICS; UPPER LIMITS;

PARAMETER ESTIMATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; MATHEMATICAL COMPUTING; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 52649114842     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2008.924641     Document Type: Article

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