Document Detail


Implementation of angular response function modeling in SPECT simulations with GATE.
MedLine Citation:
PMID:  20393239     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Among Monte Carlo simulation codes in medical imaging, the GATE simulation platform is widely used today given its flexibility and accuracy, despite long run times, which in SPECT simulations are mostly spent in tracking photons through the collimators. In this work, a tabulated model of the collimator/detector response was implemented within the GATE framework to significantly reduce the simulation times in SPECT. This implementation uses the angular response function (ARF) model. The performance of the implemented ARF approach has been compared to standard SPECT GATE simulations in terms of the ARF tables' accuracy, overall SPECT system performance and run times. Considering the simulation of the Siemens Symbia T SPECT system using high-energy collimators, differences of less than 1% were measured between the ARF-based and the standard GATE-based simulations, while considering the same noise level in the projections, acceleration factors of up to 180 were obtained when simulating a planar 364 keV source seen with the same SPECT system. The ARF-based and the standard GATE simulation results also agreed very well when considering a four-head SPECT simulation of a realistic Jaszczak phantom filled with iodine-131, with a resulting acceleration factor of 100. In conclusion, the implementation of an ARF-based model of collimator/detector response for SPECT simulations within GATE significantly reduces the simulation run times without compromising accuracy.
Authors:
P Descourt; T Carlier; Y Du; X Song; I Buvat; E C Frey; M Bardies; B M W Tsui; D Visvikis
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-04-14
Journal Detail:
Title:  Physics in medicine and biology     Volume:  55     ISSN:  1361-6560     ISO Abbreviation:  Phys Med Biol     Publication Date:  2010 May 
Date Detail:
Created Date:  2010-04-19     Completed Date:  2010-07-01     Revised Date:  2011-07-28    
Medline Journal Info:
Nlm Unique ID:  0401220     Medline TA:  Phys Med Biol     Country:  England    
Other Details:
Languages:  eng     Pagination:  N253-66     Citation Subset:  IM    
Affiliation:
INSERM, U650, LaTIM, IFR SclnBioS, Université de Brest, CHU Brest, Brest, F-29200, France.
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MeSH Terms
Descriptor/Qualifier:
Benchmarking
Computer Simulation*
Monte Carlo Method*
Reproducibility of Results
Tomography, Emission-Computed, Single-Photon*
Grant Support
ID/Acronym/Agency:
R01 CA109234-01A2/CA/NCI NIH HHS; R01 EB000288-14/EB/NIBIB NIH HHS
Comments/Corrections

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