A New Algorithm in the Application of Parameter Optimization in Radiotherapy

被引：0
|
作者：
Yong, Cao Ming [1 ]
Chen Chaomin [1 ]
Zhou Linghong [1 ]
Tonglei [2 ]
机构：
[1] Southern Med Univ, Guangzhou 510515, Guangdong, Peoples R China
[2] Guangdong Vocational Coll Mech & Engn, Guangzhou 510515, Guangdong, Peoples R China
来源：
2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11 | 2009年
关键词：
Genetic Algorithm with two Populations; Restriction base on Experience; Intensity modulated radiation therapy (IMRT); GENETIC ALGORITHMS;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
The genetic algorithm with two populations was used to optimize IMRT beam weight and orientations with three dimensional pencil beam dose calculation model. The algorithm was implemented in Visual c#.Net. After experience and analysis, we found that modest change of the beam orientation resulted in more conformal dose distribution in target volume and larger high dose area was included. Furthermore, genetic algorithm with two populations gave such a clinically acceptable computation time. It provided a satisfactory result. So, the genetic algorithm with two populations was an effective and global optimization method because of its parallelism, robust and globalization. It provided satisfactory results when being used to optimize IMRT beam weight and orientations.
引用
收藏
页码：2327 / +
页数：2
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