DocumentCode
947833
Title
PET-SORTEO: a Monte Carlo-based Simulator with high count rate capabilities
Author
Reilhac, Anthonin ; Lartizien, Carole ; Costes, Nicolas ; Sans, Sylvain ; Comtat, Claude ; Gunn, Roger N. ; Evans, Alan C.
Author_Institution
Montreal Neurological Inst. & Hosp., McGill Univ., Montreal, Canada
Volume
51
Issue
1
fYear
2004
Firstpage
46
Lastpage
52
Abstract
Monte Carlo-based PET simulators are powerful tools for accurately generating projections of tracer distributions for given scanner specifications and attenuating media distributions. High activity-related phenomena, such as the randoms contribution as well as block and system deadtimes constitute a large source of artefact and must therefore be integrated within the simulation model along with the γ-ray interaction within the tissue or the scanner material. We present here the features of a Monte Carlo simulator, dedicated to full ring tomographs, which is able to generate scattered, unscattered, and randoms distributions from voxelized phantom descriptions, and which accounts for the data losses due to system deadtime. Simulations of the count rate performance of the ECAT Exact HR+ operating in 2-D and 3-D modes were found to be in good agreement with experimental measurements obtained for a wide range of activity levels and distributions.
Keywords
Monte Carlo methods; biological effects of gamma-rays; biological tissues; data analysis; positron emission tomography; random processes; simulation; 2-D mode; 3-D modes; ECAT Exact HR+; Monte Carlo-based PET simulators; PET-SORTEO; block deadtime; count rate performance; data losses; full ring tomographs; gamma-ray interaction; high activity-related phenomena; media distributions; random distribution; randoms contribution; scanner material; scattered distribution; simulation model; system deadtime; tissue; tracer distributions; unscattered distribution; voxelized phantoms; Biological materials; Detectors; Discrete event simulation; Gunn devices; Imaging phantoms; Medical simulation; Monte Carlo methods; Positron emission tomography; Power generation; Power system modeling;
fLanguage
English
Journal_Title
Nuclear Science, IEEE Transactions on
Publisher
ieee
ISSN
0018-9499
Type
jour
DOI
10.1109/TNS.2003.823011
Filename
1282059
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