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