Quality and precision of parametric images created from pet sinogram data by direct reconstruction: Proof of concept

IEEE Transactions on Medical Imaging

Volumn 33, Issue 3, 2014, Pages 695-707

  Kamasak, Mustafa E ^a   Christian, Bradley T ^b   Bouman, Charles A ^c   Morris, Evan D ^d  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

^c Purdue University   (United States)

^d YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Akaike information criterion; Compartmental models; Error images; F statistic; Four dimensional (4 D) positron emission tomography (PET) reconstruction; Goodness of fit; Residuals; Runs test; Variance images

Indexed keywords

ALGORITHMS; KINETIC PARAMETERS; KINETIC THEORY; PARAMETER ESTIMATION; POSITRON EMISSION TOMOGRAPHY; STATISTICAL TESTS;

AKAIKE INFORMATION CRITERION; COMPARTMENTAL MODEL; ERROR IMAGE; GOODNESS OF FIT; POSITRON EMISSION TOMOGRAPHY (PET); RESIDUALS; RUNS TESTS; VARIANCE IMAGES;

IMAGE RECONSTRUCTION;

ALGORITHM; ANIMAL EXPERIMENT; ARTICLE; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; IMAGE QUALITY; IMAGE RECONSTRUCTION; KINETICS; MALE; MEASUREMENT ERROR; MONTE CARLO METHOD; NONHUMAN; PET SCANNER; QUANTITATIVE ANALYSIS; RADIOLOGICAL PARAMETERS; RHESUS MONKEY;

ALGORITHMS; ANIMALS; BRAIN; COMPUTER SIMULATION; IMAGE PROCESSING, COMPUTER-ASSISTED; MACACA MULATTA; MALE; MONTE CARLO METHOD; POSITRON-EMISSION TOMOGRAPHY;

EID: 84896307305     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2013.2294627     Document Type: Article

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