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全身伽玛刀治疗过程自动化的解决方案

周正东;罗立民;舒华忠   

  1. 1.东南大学 计算机科学与技术学科博士后流动站，江苏 南京 210096；
    2.东南大学 计算机科学与工程系，江苏 南京 210096； 3.南京航空航天大学 医学物理系，江苏 南京 210016
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-03-20 发布日期:2007-03-20

An Integrated Solution to Automate Treatment Procedure for WholeBody Gamma Knife

ZHOU Zheng dong;LUO Li min;SHU Hua zhong   

  1. 1.Post Doctoral Program for Computer Science and Technology, Southeast University, Nanjing 210096, China；2. Department of Computer Science and Engineering, Southeast University, Nanjing 210096, China；3.Department of Medical Physics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-03-20 Published:2007-03-20

摘要： 提出了一种基于靶点设计几何优化及治疗路径规划的一体化解决方案.该方案建立了几何优化靶点模型，采用遗传算法对模型进行优化，以获得靶点的最优配置；进而对治疗路径进行优化，以减少治疗床不必要的往复运动，提高治疗效率.当靶点数过多时，给出了一种分层优化方案，减少了治疗过程中的定位误差.模拟数据的实验结果表明，该自动化方案快速有效.

关键词: 全身伽玛刀, 自动化, 靶点设计, 治疗路径优化, 遗传算法

Abstract: In order to automatically determine the treatment procedure of whole body gamma knife and improve treatment results, a novel method based on the geometric optimization of shots and optimization of treatment path is proposed. A geometric optimization model based on boundary box is designed to arrange the shots. Coverage percentages of tumor and normal tissues are taken into consideration in the objective function. The optimization problem is solved by genetic algorithm. Based on the shot optimization arrangement, genetic algorithm is applied to find the best treatment path. In case a large number of shots are needed, a layer by layer treatment path optimization scheme is used to reduce computational time. This way, treatment can be carried out regularly according to the optimized shot locations and treatment path. Application of the method to simulated data shows that the treatment procedure is more convenient and faster.

Key words: whole body gamma knife, automation, shot design, treatment path optimization, genetic algorithm