目标函数设置对放疗逆向计划多目标优化过程的影响
Effect of Objective Function on Multi-objective Inverse Planning of Radiation Therapy
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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.Abstract: 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.
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