摘要
为提高重离子治癌治疗床上病灶的定位精度,针对重离子治癌系统中的病灶定位过程,提出利用扇形栅格法对重离子治癌治疗床的空间环境进行建模;用改进的蚁群算法对病灶定位运动过程进行路径优化,运用新的信息素更新策略,加快算法收敛速度。在扇形栅格模型中,采用改进的蚁群算法对病灶进行运动仿真,得出了最优路线图及收敛曲线图。经分析,新的栅格蚁群算法提高了病灶的定位精度,保证了治疗效果;可有效减少收敛次数,缩短治疗系统运行时间,提高治疗效率。
In order to improve the positioning accuracy of lesions in heavy ion treatment bed, it proposes the process of transporting the lesion location in heavy ion cancer, builds the fan grid method for space environment of heavy ion treatment bed. It introduces the modeling the space environment of heavy ion treatment bed based on fan grid method, uses a new pheromone update strategy to speed up the convergence rate of the algorithm. Based on the improved ant colony algorithm for motion simulation in fan grid model with matlab, it optimizes the road map and obtains the convergence curve. The result shows that the improved ant colony algorithm can effectively reduce the number of convergence and shorten the movement time of the system, improve the positioning accuracy of the lesion, and ensure the treatment effect.
作者
徐魁伍
姚运萍
Xu Kuiwu;Yao Yunping(School of Mechanical and Electrical Engineering,Lanzhou University of Technology,730050,China)
出处
《机械设计与制造工程》
2018年第10期70-75,共6页
Machine Design and Manufacturing Engineering
关键词
重离子
扇形栅格法
改进蚁群算法
环境建模
heavy ion
fan grid method
improved ant colony algorithm
environment modeling
