遗传算法优化调强放射治疗射野权重初步研究

A preliminary study of beam weight optimization of intensity-modulated radiation therapy with genetic algorithm

目的研究调强放射治疗(IMRT)剂量计算与射野权重优化方法。方法建立基于二维卷积的IMRT剂量计算模型,用 Visual c#．Net编写剂量计算及基于遗传算法的IMRT射野权重优化程序,分析优化结果。结果用遗传算法优化射野权重能够在一个临床可接受的计算时间内得到较高适形度的剂量分布。结论遗传算法是一种有效的IMRT射野权重优化方法,在IMTR治疗计划优化中有广阔的应用前景。

Objective To study the method for dose calculation and beam weight optimization of intensity-modulated radiation therapy （IMRT）. Methods The IMRT dose calculation model based on two-dimensional convolution was constructed, the program of dose calculation and beam weight optimization with geneticalgorithm was written with Visual c#.Net, and the optimization results were analyzed. Results Genetic algorithm optimization of beam weights can produce highly conformal dose distributions within a clinically acceptable computation time. Conclusion Genetic algorithm is valid and efficient in IMRT beam weight optimization, which may facilitate IMRT treatment planning.