| 基于遗传算法的剂量优化技术研究 |
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| 引用本文： | 周凌宏,唐木涛,王卓宇,陈超敏,吕庆文,金浩宇.基于遗传算法的剂量优化技术研究[J].南方医科大学学报,2007,27(1):46-48. |
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| 作者姓名： | 周凌宏 唐木涛 王卓宇 陈超敏 吕庆文 金浩宇 |
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| 作者单位： | 南方医科大学生物医学工程学院,广东,广州,510515 |
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| 摘 要： | 遗传算法作为一种全局优化算法,可以用来解决在目标函数不连续、不可能、非线性等情况下的复杂问题,且具有较高的收敛效率和广阔的搜索空间.本文应用遗传算法优化逆向调强放疗计划中射束的权重,用二维等剂量线、三维剂量分布和剂量-体积直方图来评估计划的优劣.最后,给出了计算结果并进行了讨论.
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| 关 键 词： | 遗传算法 调强放射治疗 剂量计算 射野参数优化 |
| 文章编号： | 1673-4254（2007）01-0046-03 |
| 收稿时间： | 2006-09-10 |
| 修稿时间： | 2006年9月10日 |
Genetic algorithm-based dose optimization in intensity modulated radiation therapy |
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| ZHOU Ling-hong,TANG Mu-tao,WANG Zhuo-yu,CHEN Chao-min,L Qing-wen,JIN Hao-yu.Genetic algorithm-based dose optimization in intensity modulated radiation therapy[J].Journal of Southern Medical University,2007,27(1):46-48. |
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| Authors: | ZHOU Ling-hong TANG Mu-tao WANG Zhuo-yu CHEN Chao-min L Qing-wen JIN Hao-yu |
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| Institution: | School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China. gzchou@263.net |
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| Abstract: | As a powerful global optimization approach, genetic algorithms (GA) can solve a variety of optimization problems in which the objective function is discontinuous, non-differentiable, or highly non-linear, to produce high convergence speed and vast search space. In this thesis, GA is used to optimize the beam weights of intensity modulated radiation therapy (IMRT) inverse planning, and 2D and 3D isodose contour as well as dose volume histogram (DVH) are used to evaluate the treatment plan. Also presented in this thesis are the results of calculation with discussions. |
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| Keywords: | enetic algorithm intensity modulated radiation therapy dose calculation beam parameters optimization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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