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Volumn 37, Issue 8, 2010, Pages 4138-4145
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On the use of a proton path probability map for proton computed tomography reconstruction
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Author keywords
algebraic reconstruction; Bayesian inference; image reconstruction; most likely path estimation; pCT reconstruction
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Indexed keywords
BAYESIAN NETWORKS;
COMPUTERIZED TOMOGRAPHY;
INFERENCE ENGINES;
MONTE CARLO METHODS;
PROBABILITY;
ALGEBRAIC RECONSTRUCTION;
BAYESIAN INFERENCE;
CONDITIONAL PROBABILITIES;
GEANT4 SIMULATION;
MULTIPLE COULOMB SCATTERINGS;
PATH ESTIMATION;
PROTON COMPUTED TOMOGRAPHY;
PROTON COMPUTED TOMOGRAPHY (PCT);
IMAGE RECONSTRUCTION;
PROTON;
ALGORITHM;
ARTICLE;
ARTIFICIAL INTELLIGENCE;
AUTOMATED PATTERN RECOGNITION;
BIOLOGICAL MODEL;
COMPUTER ASSISTED DIAGNOSIS;
COMPUTER SIMULATION;
IMAGE QUALITY;
METHODOLOGY;
RADIATION SCATTERING;
REPRODUCIBILITY;
SENSITIVITY AND SPECIFICITY;
STATISTICAL ANALYSIS;
STATISTICAL MODEL;
ALGORITHMS;
ARTIFICIAL INTELLIGENCE;
COMPUTER SIMULATION;
DATA INTERPRETATION, STATISTICAL;
MODELS, BIOLOGICAL;
MODELS, STATISTICAL;
PATTERN RECOGNITION, AUTOMATED;
PROTONS;
RADIOGRAPHIC IMAGE ENHANCEMENT;
RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED;
REPRODUCIBILITY OF RESULTS;
SCATTERING, RADIATION;
SENSITIVITY AND SPECIFICITY;
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EID: 78149487406
PISSN: 00942405
EISSN: None
Source Type: Journal
DOI: 10.1118/1.3453767 Document Type: Article |
Times cited : (31)
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References (12)
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