Quantifying the importance of the statistical assumption in statistical X-ray CT image reconstruction

IEEE Transactions on Medical Imaging

Volumn 33, Issue 1, 2014, Pages 61-73

  Xu, Jingyan ^a   Tsui, Benjamin M W ^a  

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

Author keywords

Clinical X ray computerized tomography (CT) systems; compound Poisson distribution; energy integrating detectors; ideal observer (IO); maximum likelihood estimate; pseudo likelihood; statistical image reconstruction

Indexed keywords

COMPOUND POISSON DISTRIBUTION; IDEAL OBSERVERS; MAXIMUM-LIKELIHOOD ESTIMATE; PSEUDO-LIKELIHOOD; STATISTICAL IMAGE RECONSTRUCTION; X RAY COMPUTERIZED TOMOGRAPHY;

COMPUTER SIMULATION; DETECTORS; IMAGE RECONSTRUCTION; POISSON DISTRIBUTION; PROBABILITY DENSITY FUNCTION; SIGNAL DETECTION; STATISTICS; TUBES (COMPONENTS);

COMPUTERIZED TOMOGRAPHY;

AREA UNDER THE CURVE; ARTICLE; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; FOURIER TRANSFORMATION; HUMAN; IMAGE QUALITY; IMAGE RECONSTRUCTION; IMAGING PHANTOM; LIVER INJURY; PHOTON; POISSON DISTRIBUTION; RADIATION DOSE; SIGNAL DETECTION; SIGNAL NOISE RATIO; SPECTRUM; TASK PERFORMANCE; X RAY; X RAY DETECTOR; X RAY TUBE; ALGORITHM; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; HUMANS; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84892387025     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2013.2280383     Document Type: Article

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