肺癌调强放射治疗角度优化研究

Beam Orientation Optimization of Intensity-Modulated Radiotherapy for Lung Cancer

目的:优化肺癌调强放射治疗(IMRT)治疗计划的角度。方法:本文使用了基于约束条件的遗传算法(genetical gorithm,GA)射野方向优化技术,该技术先对GA的搜索范围进行限制,然后再进行遗传操作,得到自动优化角度分布。结果:对10例肺癌进行了共面5野调强角度等分隔、7野调强角度等分隔、9野调强角度等分隔、5野调强射野方向优化的结果进行比较,最后一种方法得到的结果是最优的。结论:采用此方法是可行的,避免了手工多次调整射野方向,提高了效率和效果,同时也可减少射野个数。

Objective： Optimize beam orientation of intensity-modulated radiotherapy （IMRT） for lung cancer. Methods： Develops the automatic beam orientations selection using GA（genetic algorithm） of restrict condition. First this method restrict the search area of GA, next process genetic operations. Results： Compare four methods： five equal-spaced beams, seven equal-spaced beams, nine equal-spaced beams, five optimization orientation, final method is the best. Condusions： Adopting this method feasible, it can avoid conventional manual trial and process, enhance efficiency and effect, and reduce count of beam.