DocumentCode :
2931099
Title :
Low-coupled parallel strategy for Monte Carlo radiation dose calculation
Author :
Massa, José María ; Doorn, Jorge H. ; Wainschenker, Ruben S.
Author_Institution :
INTIA, UNICEN, Tandil, Argentina
fYear :
2010
fDate :
Aug. 31 2010-Sept. 4 2010
Firstpage :
1771
Lastpage :
1774
Abstract :
In this work a parallelization technique for Monte Carlo calculation of the radiation absorbed dose is presented. The proposed method reduces the overall time of calculation exploiting the probabilistic nature of the problem. Reducing dose calculation times to meet practical application of use of results is a topic of great interest in the Monte Carlo simulation, dosimetry evaluation and treatment planning. The general problem of dose calculation parallelization was analyzed. The optimal number of calculation units for a given context was also determined.
Keywords :
Monte Carlo methods; dosimetry; medical computing; radiation therapy; Monte Carlo radiation dose calculation; dose calculation time; dosimetry evaluation; low-coupled parallel strategy; parallelization technique; treatment planning; Computational modeling; Context; Couplings; Data models; Generators; History; Monte Carlo methods; Algorithms; Computer Simulation; Humans; Models, Biological; Models, Statistical; Monte Carlo Method; Radiometry; Radiotherapy Dosage; Radiotherapy Planning, Computer-Assisted; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4123-5
Type :
conf
DOI :
10.1109/IEMBS.2010.5626742
Filename :
5626742
Link To Document :
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