Direct 4D parametric imaging for linearized models of reversibly binding PET tracers using generalized AB-EM reconstruction

Physics in Medicine and Biology

Volumn 57, Issue 3, 2012, Pages 733-755

  Rahmim, Arman ^a,b   Zhou, Yun ^a   Tang, Jing ^c   Lu, Lijun ^d   Sossi, Vesna ^e   Wong, Dean F ^a  

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

^b Johns Hopkins University   (United States)

^c Oakland University   (United States)

^d SOUTHERN MEDICAL UNIVERSITY   (China)

^e UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE AREA; BRAIN PHANTOMS; CLOSED FORM; COEFFICIENT OF VARIATION; CONVENTIONAL METHODS; CORTICAL REGIONS; DISTRIBUTION VOLUME; DYNAMIC PET; EM ALGORITHMS; ENHANCED PERFORMANCE; EXTENSIVE SIMULATIONS; GRAPHICAL ANALYSIS; HIGH NOISE LEVELS; HIGH-RESOLUTION RESEARCH TOMOGRAPH; INPUT MODELS; INTERCEPT PARAMETERS; LINEARIZED MODELS; LOWER BOUNDS; NOISE LEVELS; PARAMETERS ESTIMATED; PARAMETRIC IMAGE; PARAMETRIC IMAGING; PATLAK ANALYSIS; PET IMAGING; PET TRACER; PRIOR INFORMATION; QUANTITATIVE ACCURACY; QUANTITATIVE MEASUREMENT; REANALYSIS; REFERENCE TISSUE MODEL; RELATIVE EQUILIBRIA; ROBUST PARAMETER ESTIMATION; TIME-ACTIVITY CURVES;

ALGORITHMS; BRAIN MODELS; IMAGE RECONSTRUCTION; INVERSE PROBLEMS; LINEARIZATION; SPEECH PROCESSING; TISSUE; TOMOGRAPHY;

PARAMETER ESTIMATION;

CARBON; LIGAND;

ALGORITHM; ARTICLE; BRAIN; CHEMISTRY; COMPUTER GRAPHICS; COMPUTER SIMULATION; HUMAN; IMAGE PROCESSING; IMAGE QUALITY; KINETICS; METHODOLOGY; PATHOLOGY; POSITRON EMISSION TOMOGRAPHY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; TIME;

ALGORITHMS; BRAIN; CARBON RADIOISOTOPES; COMPUTER GRAPHICS; COMPUTER SIMULATION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; KINETICS; LIGANDS; LINEAR MODELS; MODELS, STATISTICAL; PHANTOMS, IMAGING; POSITRON-EMISSION TOMOGRAPHY; TIME FACTORS;

EID: 84856096311     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/57/3/733     Document Type: Article

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