DocumentCode
469840
Title
Acceleration of GATE SPECT simulations
Author
De Beenhouwer, Jan ; Staelens, Steven ; Vandenberghe, Stefaan ; Lemahieu, Ignace
Author_Institution
Ghent Univ., Ghent
Volume
5
fYear
2007
fDate
Oct. 26 2007-Nov. 3 2007
Firstpage
3649
Lastpage
3655
Abstract
GEANT4 application for tomographic emission (GATE) is a geometry and tracking 4 (GEANT4) application toolkit for accurate simulation of positron emission tomography (PET) and single photon emission computed tomography (SPECT) scanners. GATE simulations with realistic count levels are very CPU-intensive as they take up to several days with single-CPU computers. Therefore, we implemented both standard (FD) and convolution based forced detection (CFD) with multiple projection sampling (MPS) which allows the simulation of all projections simultaneously in GATE. In addition, a FD and CFD specialized Geant4 navigator was developed to overcome the detailed but slow tracking algorithms in Geant4. This paper is focussed on the implementation and validation of these aforementioned developments. The results show a good agreement between the FD and CFD versus analog GATE simulations. These combined developments accelerate GATE from three to six orders of magnitude and render realistic simulations feasible within clinically acceptable simulation times.
Keywords
Monte Carlo methods; convolution; positron emission tomography; single photon emission computed tomography; GATE SPECT simulations; GEANT4; PET; convolution; forced detection; multiple projection sampling; positron emission tomography; single photon emission computed tomography; Acceleration; Application software; Computational fluid dynamics; Computational geometry; Computational modeling; Computer simulation; Convolution; Positron emission tomography; Single photon emission computed tomography; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record, 2007. NSS '07. IEEE
Conference_Location
Honolulu, HI
ISSN
1095-7863
Print_ISBN
978-1-4244-0922-8
Electronic_ISBN
1095-7863
Type
conf
DOI
10.1109/NSSMIC.2007.4436913
Filename
4436913
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