DocumentCode :
1841424
Title :
An Efficient Monte-Carlo Dose Calculation System for Radiotherapy Treatment Planning
Author :
Yuan Li ; Jiang Jiang ; Minxuan Zhang ; Shaojun Wei
Author_Institution :
Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2013
fDate :
21-23 June 2013
Firstpage :
314
Lastpage :
317
Abstract :
Dose calculation is critical important for the radiotherapy of cancer treatment. In this paper, an efficient Monte-Carlo radiation dose calculation system is presented. The dose calculation kernel of our system is based on the DPM algorithm [12]. The original codes are replanted into windows environment and rewritten using C++. Optimization techniques are applied to achieve a higher performance. Experimental results show that the optimized codes can achieve about 12% speedup in performance while retaining the same accuracy compared to the original codes. A user-friendly User Interface (UI) is also imported into the system. Through the UI, doctors can flexibly customize the simulation parameters and obtain the simulation results visually.
Keywords :
C++ language; Monte Carlo methods; cancer; dosimetry; medical computing; optimisation; radiation therapy; user interfaces; C++; DPM algorithm; Monte-Carlo dose calculation system; cancer treatment; dose calculation kernel; optimization techniques; optimized codes; radiotherapy treatment planning; simulation parameters; user-friendly user interface; windows environment; Educational institutions; Monte Carlo methods; Phantoms; Photonics; Planning; Positrons; Scattering; DPM; Dose Calculation; Monte-Carlo Simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
Type :
conf
DOI :
10.1109/ICCIS.2013.90
Filename :
6643005
Link To Document :
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