[1]唐木涛,陈超敏,周凌宏,等.遗传算法优化调强放射治疗射野权重初步研究[J].南方医科大学学报,2006,(04):456-458.
 TANG Mu-tao,CHEN Chao-min,ZHOU Ling-hong,et al.A preliminary study of beam weight optimization of intensity-modulated radiation therapy with genetic algorithm[J].Journal of Southern Medical University,2006,(04):456-458.
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遗传算法优化调强放射治疗射野权重初步研究()
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《南方医科大学学报》[ISSN:1673-4254/CN:44-1627/R]

卷:
期数:
2006年04期
页码:
456-458
栏目:
论著·基础研究
出版日期:
2000-01-01

文章信息/Info

Title:
A preliminary study of beam weight optimization of intensity-modulated radiation therapy with genetic algorithm
作者:
唐木涛; 陈超敏; 周凌宏; 吕庆文; 王卓宇; 陈光杰;
南方医科大学生物医学工程学院; 南方医科大学生物医学工程学院 广东 广州 510515; 广东 广州 510515;
Author(s):
TANG Mu-tao CHEN Chao-min ZHOU Ling-hong LU Qing-wen WANG Zhuo-yu CHEN Guang-jie School of Biomedical Engineering Southern Medical University Guangzhou 510515 China
关键词:
调强放疗 剂量计算 二维卷积 遗传算法 射野参数优化
Keywords:
intensity-modulated radiation therapy dose calculation two-dimensional convolution genetic algorithm beam weight optimization
分类号:
R815
摘要:
目的研究调强放射治疗(IMRT)剂量计算与射野权重优化方法。方法建立基于二维卷积的IMRT剂量计算模型,用 Visual c#.Net编写剂量计算及基于遗传算法的IMRT射野权重优化程序,分析优化结果。结果用遗传算法优化射野权重能够在一个临床可接受的计算时间内得到较高适形度的剂量分布。结论遗传算法是一种有效的IMRT射野权重优化方法,在IMTR治疗计划优化中有广阔的应用前景。?
Abstract:
Objective To study the method for dose calculation and beam weight optimization of intensity-modulated radiation therapy (IMRT). Methods The IMRT dose calculation model based on two-dimensional convolution was constructed, the program of dose calculation and beam weight optimization with geneticalgorithm was written with Visual c#.Net, and the optimization results were analyzed. Results Genetic algorithm optimization of beam weights can produce highly conformal dose distributions within a clinically acceptable computation time. Conclusion Genetic algorithm is valid and efficient in IMRT beam weight optimization, which may facilitate IMRT treatment planning.

参考文献/References:

遗传算法优化调强放射治疗射野权重初步研究

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备注/Memo

备注/Memo:
广东省科技计划项目(2003C32724);广州市科技计划项目(200323-E0291)~~
更新日期/Last Update: 1900-01-01