摘要
目前放疗逆向计划中常用的目标函数有两种:基于剂量分布的目标函数和基于剂量-体积直方图(DVH)的目标函数。实际系统都基于单目标优化算法进行,不考虑逆向计划的多目标性。在Pareto多目标优化理论的基础上,研究逆向计划的目标函数设置问题,比较基于剂量分布的目标函数和基于DVH的目标函数对多目标优化过程的影响,包括优化时间、收敛性和存在的问题等,为逆向计划过程中多目标优化目标函数的设置提供依据。
There are two kinds of objective functions in radiotherapy inverse planning： dose distribution-based and Dose-Volume Histogram （DVH）-based functions. The treatment planning in our days is still a trial and error process because the multi-objective problem is solved by transforming it into a single objective problem using a specific set of weights for each object. This work investigates the problem of objective function setting based on Pareto multi-optimization theory, and compares the effect on multi-objective inverse planning of those two kinds of objective functions including calculation time, converge speed, etc. The basis of objective function setting on inverse planning is discussed.
出处
《原子核物理评论》
CAS
CSCD
北大核心
2006年第2期233-236,共4页
Nuclear Physics Review
基金
中国科学院知识创新工程资助项目
安徽省自然科学基金资助项目(010436010)
安徽省教委自然科学基金资助项目(2004KJ220ZC)
中国科学院百人计划资助项目~~
关键词
逆向计划
目标函数
剂量分布
剂量-体积直方图
inverse planning
objective function
dose distribution
Dose-Volume Histogram
