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基于遗传算法的γ刀治疗计划优化 被引量:9

γ Knife Treating Planning Optimization by Genetic Algorithm
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摘要 提出基于遗传算法的γ刀治疗计划优化.该算法可用于优化肿瘤区靶点的位置、准直器大小和各靶点权重等主要放疗参数,从而达到肿瘤区内剂量分布均匀而又最大限度保护正常组织的目的.若干病例的计算结果表明。 A genetic algorithm is presented for γ Knife treatment planning optimization. By using this algorithm, the treatment planning parameters such as the position of isocenters, the size of collimator, and the isocenters' weight, can be optimized to get a uniform dose distribution to cover the tumor volume and at the same time to minimize the damage to the surrounding normal tissues. Application of this algorithm to some cases shows that our optimization algorithm runs in a satisfactory way for the purpose of deliverying enough dose to tumor and minimizing damage to normal tissue.
出处 《东南大学学报(自然科学版)》 EI CAS CSCD 1999年第3期110-114,共5页 Journal of Southeast University:Natural Science Edition
关键词 遗传算法 γ-刀治疗计划 最佳化 放射治疗 genetic algorithm optimization γ Knife treatment planning
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参考文献3

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同被引文献50

  • 1金浩宇,吕庆文,周凌宏.用解卷积方法提取笔射束核的实现[J].中国生物医学工程学报,2004,23(4):382-384. 被引量:7
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