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逆向调强适形放射治疗计划中机架角选择的算法初探 被引量：1

Research on Selecting Gantrys in IMRT Planning
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摘要 在选择IMRT治疗机架角遗传算法中,融入局部寻优能力强的模拟退火算法。针对遗传算法易产生早熟现象、局部寻优能力较差、治疗计划复杂等,提出人工优良模式,把临床经验知识融入到算法中,既保持遗传算法的全局寻优特点,又提高了运行效率。 Taking simulated annealing algorithm which has high local searching ability into genetic algorithm selecting accelerator gantrys. Due to GA shortage such as premature , poor local searching ability etc. and complexity of IMRT planing , brought forword mannual good schema that brought clinic experience knowledge into algorithm. It can keep good global searching ability and improve significantly the efficiency of GA.
作者 李贤富 李明东 谭榜宪 柳弥
机构地区 西华师范大学计算机学院 川北医学院附属医院放疗中心
出处 《计算机应用研究》 CSCD 北大核心 2007年第6期109-111,共3页 Application Research of Computers
基金 四川省教育厅重点资助项目(2004A099)
关键词 调强治疗 遗传算法 模拟退火算法 模式 IMRT genetic algorithm（GA） simulated annealing（SA） schema
分类号 TP301.6 [自动化与计算机技术—计算机系统结构]
  • 相关文献

参考文献6

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共引文献42

同被引文献13

  • 1高黎,易俊林,黄晓东,李素艳,罗京伟,徐国镇.鼻咽癌根治性放疗10年经验总结[J].中华放射肿瘤学杂志,2006,15(4):249-256. 被引量：144
  • 2白彦灵,云维康,胡洪涛,刘成基.基于射束方向优化思想鼻咽癌调强放疗计划正向设计技术[J].中华放射肿瘤学杂志,2006,15(6):489-494. 被引量：9
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计算机应用研究
2007年 第6期

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