遗传算法在放射治疗计划射野参数优化中的应用

Progress of Genetic Algorithm for Beam Parameters Optimization in Radiotherapy Planning

随着调强放疗和逆向治疗计划的发展,在放射治疗中如何自动选择射野参数受到广泛的关注,由于遗传算法具有搜索速度快,搜索空间广的特点,在放射治疗计划参数优化中得到了越来越多的应用,本文在积极跟踪国内外最新文献的基础上对常规优化算法的优缺点进行了比较,并重点介绍和讨论了遗传算法在优化射野参数方面的应用和发展。

with the development of IMRT and inverse planning, the automatic selection of suitable beam parameters in external beam radiotherapy is particularly highlighted. Because of the high speed and vast search space, Genetic Algorithm （GA） optimization is becoming more and more papular in recent years. In this paper, several conventional optimization methods are compared based on tracing latest information , the application and development of GA used in inverse planning are introduced and discussed.