分子动力学再优化算法应用于调强放射治疗  

Re-optimized molecular dynamics algorithm in intensity-modulated radiotherapy

作　　者：文玉梅[1] 黄静[1] 龙凤翔[1] 何冬林[1] 陈昭[1] 雷琴[1] 吴章文[1] 勾成俊[1] 

机构地区：[1]辐射物理及技术教育部重点实验室/四川大学原子核科学技术研究所,四川成都610064

出　　处：《中国医学物理学杂志》2017年第8期770-775,共6页Chinese Journal of Medical Physics

基　　金：国家重点研发计划(2016YFC0105103)

摘　　要：目的:研究在引入模拟退火算法后,分子动力学再优化算法应用到调强放射治疗(IMRT)计划制定过程中的可行性。方法:在利用分子动力学完成IMRT计划后,再利用模拟退火方法对子野叶片位置和子野跳数进行进一步优化,最后用AAPM119号报告提供的测试例评估该算法是否满足处方剂量要求。结果:模拟多靶区、模拟前列腺肿瘤、模拟头颈肿瘤和模拟C形靶区(第一种情况)的优化结果满足并优于处方剂量要求。对于约束更严格的模拟C形靶区(第二种情况),优化结果略低于处方要求。总体结果比AAPM119号报告对其它系统的评价更好。结论:在引入模拟退火方法后,分子动力学再优化算法可以满足调强计划的处方要求。Objective To study the effectiveness of re-optimized molecular dynamics algorithm in intensity-modulated radiotherapy（IMRT） planning based on simulated annealing algorithm. Methods The molecular dynamics algorithm was applied to complete IMRT plan, and the simulated annealing method was used to further optimize the leaf position and segment monitor units. The results were evaluated through the test cases from AAPM119 report. Results The optimization results of multi-target areas,prostate tumors, head and neck tumors and C-shape target area（easier） met the requirements of prescription dose or even better,but the optimization result of C-shape target area（harder） was slightly lower than the requirements of prescription dose. A better evaluation of AAPM119 report was found in the optimization than the other systems. Conclusion After the introduction of simulated annealing algorithm, the re-optimized molecular dynamics algorithm can satisfy the prescription requirements of IMRT plan.

关 键 词：分子动力学算法 模拟退火算法 调强放射治疗 再优化 

分 类 号：R811[医药卫生—放射医学]