Development and application of a GPU-based fast electron-photon coupled Monte Carlo code for radiation therapy
Authors
Su, Lin
ORCID
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Other Contributors
Xu, Xie George
Caracappa, Peter
Ji, Wei
Oberai, Assad
Wang, Ge, 1957-
Caracappa, Peter
Ji, Wei
Oberai, Assad
Wang, Ge, 1957-
Issue Date
2014-12
Keywords
Nuclear engineering
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
The benchmark results showed good agreement between ARCHER and EGSnrc. For clinical cases, with the 2%/2mm criteria, the gamma test passing rates for the prostate, lung case and head & neck cases are 99.7%, 98.5% and 97.2%, respectively. Meanwhile, ARCHER achieved a fast speed for PSF-based dose calculations. With a single M2090 card, the simulations took about 60, 50, 80 seconds for three cases, respectively, with 1% statistical error in the PTV. Using the latest K40 GPU card, the simulation times were further reduced by 1.7-1.8. When six M2090 cards were used, the total computing time was 8.9-13.4 seconds. For comparison, the same simulations on Intel E5-2620 (12 hyper-threads) cost about 500~800 seconds. In conclu-sion, ARCHER for RT was developed successfully to perform fast and accurate MC dose calculation for radiotherapy using PSFs and patient CT phantoms.
Description
December 2014
School of Engineering
School of Engineering
Department
Dept. of Mechanical, Aerospace, and Nuclear Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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