基于遗传算法的调强放射治疗射束权重优化的初步研究
[A preliminary study of beam weight optimization of intensity-modulated radiation therapy with genetic algorithm].
作者信息
Tang Mu-tao, Chen Chao-min, Zhou Ling-hong, Lü Qing-wen, Wang Zhuo-yu, Chen Guang-jie
机构信息
School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
出版信息
Nan Fang Yi Ke Da Xue Xue Bao. 2006 Apr;26(4):456-8.
UNLABELLED
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 genetic algorithm 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.
未标注
研究调强放射治疗（IMRT）剂量计算及射束权重优化方法。
方法
构建基于二维卷积的IMRT剂量计算模型，用Visual c#.Net编写遗传算法剂量计算及射束权重优化程序，并分析优化结果。
结果
遗传算法对射束权重进行优化可在临床可接受的计算时间内产生高度适形的剂量分布。
结论
遗传算法在IMRT射束权重优化中有效且高效，可促进IMRT治疗计划制定。
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