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| IMRT逆向计划中的混合多目标梯度算法 | |
| 引用本文： | 李国丽,盛大宁,王俊椋,景佳,王超,闰冰.IMRT逆向计划中的混合多目标梯度算法[J].南京航空航天大学学报(英文版),2010,27(1):97-101. |
| 作者姓名： | 李国丽 盛大宁 王俊椋 景佳 王超 闰冰 |
| 作者单位： | 1. 浙江工业大学信息工程学院,杭州,310034,中国;合肥工业大学电气与自动化工程学院,合肥,230009,中国 2. 合肥工业大学电气与自动化工程学院,合肥,230009,中国 3. 电子科技大学通信与信息工程学院,成都,611731,中国 |
| 基金项目： | Supported by the National Basic Research Program of China (“973” Program);;the National Natural Science Foundation of China (60872112, 10805012);;the Natural Science Foundation of Zhejiang Province(Z207588);;the College Science Research Project of Anhui Province (KJ2008B268)~~ |
| 摘 要： | 将多目标智能优化算法与梯度算法的进化策略有机结合，即对每一种群用梯度算法求解其下一代新群体，并采用实数运算，构造一种混合多目标梯度算法。利用测试函数分析算法的优劣，并将其应用于IMRT逆向计划过程。目标函数中的PTV和NT是基于平均计量分布，通过水模中的测试算例，得出强度分布。结果表明，该混合多目标梯度算法可节省大量计算时间且具有较高的计算精度，故能够满足实际应用的要求。 |
| 关 键 词： | 梯度方法 逆向计划 多目标优化 混合梯度算法 |
HYBRID MULTI-OBJECTIVE GRADIENT ALGORITHM FOR INVERSE PLANNING OF IMRT |
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| Li Guoli,Sheng Daning,Wang Junliang,Jing Jia,Wang Chao,Yan Bing.HYBRID MULTI-OBJECTIVE GRADIENT ALGORITHM FOR INVERSE PLANNING OF IMRT[J].Transactions of Nanjing University of Aeronautics & Astronautics,2010,27(1):97-101. | |
| Authors: | Li Guoli Sheng Daning Wang Junliang Jing Jia Wang Chao Yan Bing |
| Institution: | 1.College of Information Engineering/a>;Zhejiang University of Technology/a>;Hangzhou/a>;310034/a>;P.R.China/a>;2.School of Electrical Engineering and Automation/a>;Hefei University of Technology/a>;Hefei/a>;230009/a>;3.School of Communication and Information Engineering/a>;University of Electronic Science and Technology of China/a>;Chengdu/a>;611731/a>;P.R.China |
| Abstract: | The intelligent optimization of a multi-objective evolutionary algorithm is combined with a gradient algorithm.The hybrid multi-objective gradient algorithm is framed by the real number.Test functions are used to analyze the efficiency of the algorithm.In the simulation case of the water phantom,the algorithm is applied to an inverse planning process of intensity modulated radiation treatment (IMRT).The objective functions of planning target volume (PTV) and normal tissue (NT) are based on the average dose ... |
| Keywords: | gradient methods inverse planning multi-objective optimization hybrid gradient algorithm |
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