DocumentCode :
836237
Title :
Benchmarking a Monte Carlo simulation code on a prototype LSO scanner
Author :
Conti, Maurizio ; Casey, Michael E. ; Eriksson, Lars ; Eriksson, Marita
Author_Institution :
CPS Innovations, Knoxville, TN, USA
Volume :
49
Issue :
3
fYear :
2002
fDate :
6/1/2002 12:00:00 AM
Firstpage :
644
Lastpage :
648
Abstract :
A Monte Carlo simulation code has been developed to predict new positron emission tomography (PET) scanner performance such as sensitivity and scatter fraction or to obtain physics information such as deposited energy spectra. The code has been tested on a PET prototype based on lutetium-ortho-silicate (LSO) panel detectors and its results are in excellent agreement with experimental data; in particular, a comparison of noise-equivalent count-rate curves is presented. Coupling the accurate physics embedded in Monte Carlo simulation and a scanner modeling allowed us to obtain a reliable tool for the PET scanner design.
Keywords :
Monte Carlo methods; medical diagnostic computing; positron emission tomography; solid scintillation detectors; LSO detector; Monte Carlo simulation code; PET scanner; benchmarking; noise-equivalent count-rate curves; scatter fraction; sensitivity; Detectors; Electromagnetic scattering; Event detection; Imaging phantoms; Particle scattering; Physics; Positron emission tomography; Rayleigh scattering; Testing; Virtual prototyping;
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/TNS.2002.1039543
Filename :
1039543
Link To Document :
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