Theoretical study of penalized-likelihood image reconstruction for region of interest quantification

IEEE Transactions on Medical Imaging

Volumn 25, Issue 5, 2006, Pages 640-648

  Qi, Jinyi ^a,b,c   Huesman, Ronald H ^a,c  

^a IEEE   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

Author keywords

Emission tomography; Image reconstruction; Maximum a posteriori; Parameter estimation; Penalized likelihood; Quantification

Indexed keywords

EMISSION TOMOGRAPHY; MAXIMUM A POSTERIORI; PENALIZED LIKELIHOOD;

COMPUTER SIMULATION; PARAMETER ESTIMATION; PHOTONS; POSITRON EMISSION TOMOGRAPHY; SIGNAL TO NOISE RATIO; STATISTICAL METHODS; TUMORS;

IMAGE RECONSTRUCTION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED EMISSION TOMOGRAPHY; COMPUTER SIMULATION; EVALUATION; IMAGE ENHANCEMENT; IMAGE QUALITY; INFORMATION RETRIEVAL; INSTRUMENTATION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; LIKELIHOOD FUNCTIONS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, EMISSION-COMPUTED;

EID: 33646419785     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2006.873223     Document Type: Article

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