Literature DB >> 20463376

Development of a GPU-based Monte Carlo dose calculation code for coupled electron-photon transport.

Xun Jia1, Xuejun Gu, Josep Sempau, Dongju Choi, Amitava Majumdar, Steve B Jiang.   

Abstract

Monte Carlo simulation is the most accurate method for absorbed dose calculations in radiotherapy. Its efficiency still requires improvement for routine clinical applications, especially for online adaptive radiotherapy. In this paper, we report our recent development on a GPU-based Monte Carlo dose calculation code for coupled electron-photon transport. We have implemented the dose planning method (DPM) Monte Carlo dose calculation package (Sempau et al 2000 Phys. Med. Biol. 45 2263-91) on the GPU architecture under the CUDA platform. The implementation has been tested with respect to the original sequential DPM code on the CPU in phantoms with water-lung-water or water-bone-water slab geometry. A 20 MeV mono-energetic electron point source or a 6 MV photon point source is used in our validation. The results demonstrate adequate accuracy of our GPU implementation for both electron and photon beams in the radiotherapy energy range. Speed-up factors of about 5.0-6.6 times have been observed, using an NVIDIA Tesla C1060 GPU card against a 2.27 GHz Intel Xeon CPU processor.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20463376     DOI: 10.1088/0031-9155/55/11/006

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  23 in total

1.  Monte Carlo simulation of photon migration in a cloud computing environment with MapReduce.

Authors:  Guillem Pratx; Lei Xing
Journal:  J Biomed Opt       Date:  2011-12       Impact factor: 3.170

2.  GPU-accelerated Monte Carlo convolution/superposition implementation for dose calculation.

Authors:  Bo Zhou; Cedric X Yu; Danny Z Chen; X Sharon Hu
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

3.  A GPU implementation of a track-repeating algorithm for proton radiotherapy dose calculations.

Authors:  Pablo P Yepes; Dragan Mirkovic; Phillip J Taddei
Journal:  Phys Med Biol       Date:  2010-11-12       Impact factor: 3.609

4.  Initial development of goCMC: a GPU-oriented fast cross-platform Monte Carlo engine for carbon ion therapy.

Authors:  Nan Qin; Marco Pinto; Zhen Tian; Georgios Dedes; Arnold Pompos; Steve B Jiang; Katia Parodi; Xun Jia
Journal:  Phys Med Biol       Date:  2017-01-31       Impact factor: 3.609

5.  A generalized 2D pencil beam scaling algorithm for proton dose calculation in heterogeneous slab geometries.

Authors:  David C Westerly; Xiaohu Mo; Wolfgang A Tomé; Thomas R Mackie; Paul M DeLuca
Journal:  Med Phys       Date:  2013-06       Impact factor: 4.071

6.  New concept on an integrated interior magnetic resonance imaging and medical linear accelerator system for radiation therapy.

Authors:  Xun Jia; Zhen Tian; Yan Xi; Steve B Jiang; Ge Wang
Journal:  J Med Imaging (Bellingham)       Date:  2017-03-02

Review 7.  Monte Carlo systems used for treatment planning and dose verification.

Authors:  Lorenzo Brualla; Miguel Rodriguez; Antonio M Lallena
Journal:  Strahlenther Onkol       Date:  2016-11-25       Impact factor: 3.621

8.  A GPU tool for efficient, accurate, and realistic simulation of cone beam CT projections.

Authors:  Xun Jia; Hao Yan; Laura Cervino; Michael Folkerts; Steve B Jiang
Journal:  Med Phys       Date:  2012-12       Impact factor: 4.071

9.  Four-dimensional cone beam CT reconstruction and enhancement using a temporal nonlocal means method.

Authors:  Xun Jia; Zhen Tian; Yifei Lou; Jan-Jakob Sonke; Steve B Jiang
Journal:  Med Phys       Date:  2012-09       Impact factor: 4.071

10.  A GPU-accelerated Monte Carlo dose calculation platform and its application toward validating an MRI-guided radiation therapy beam model.

Authors:  Yuhe Wang; Thomas R Mazur; Olga Green; Yanle Hu; Hua Li; Vivian Rodriguez; H Omar Wooten; Deshan Yang; Tianyu Zhao; Sasa Mutic; H Harold Li
Journal:  Med Phys       Date:  2016-07       Impact factor: 4.071

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.