gMCAP:a GPU-based Monte Carlo proton transport program for high-density tissues with precise nuclear reaction models  

作　　者：Xi-Yu Luo Liang Sun Zhen Wu Rui Qiu Shou-Ping Xu Hui Zhang Jun-Li Li 

机构地区：[1]Department of Engineering Physics,Tsinghua University,Beijing 100084,China [2]Key Laboratory of Particle and Radiation Imaging,Tsinghua University,Ministry of Education,Beijing 100084,China [3]State Key Laboratory of Radiation Medicine and Protection,School of Radiation Medicine and Protection,Soochow University,Suzhou 215123,China [4]Nuctech Company Limited,Beijing 100084,China [5]National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100021,China

出　　处：《Nuclear Science and Techniques》2025年第5期192-205,共14页核技术(英文)

摘　　要：GPU-based Monte Carlo(MC)simulations are highly valued for their potential to improve both the computational efficiency and accuracy of radiotherapy.However,in proton therapy,these methods often simplify human tissues as water for nuclear reactions,disregarding their true elemental composition and thereby potentially compromising calculation accuracy.Consequently,this study developed the program g MCAP(GPU-based proton MC Algorithm for Proton therapy),incorporating precise discrete interactions,and established a refined nuclear reaction model(REFINED)that considers the actual materials of the human body.Compared to the approximate water model(APPROX),the REFINED model demonstrated an improvement in calculation accuracy of 3%.In particular,in high-density tissue regions,the maximum dose deviation between the REFINED and APPROX models was up to 15%.In summary,the g MCAP program can efficiently simulate 1 million protons within 1 s while significantly enhancing dose calculation accuracy in high-density tissues,thus providing a more precise and efficient engine for proton radiotherapy dose calculations in clinical practice.

关 键 词：Monte Carlo simulation Proton therapy Dose calculation GPU GEANT4 

分 类 号：R730.55[医药卫生—肿瘤]