血管介入手术难度大, 操作要求精确. 由于医生手术水平不一,通常选择粗大通径的血管进行手术, 而不会考虑其他更优的路径.提出基于改进蚁群算法的血管介入手术路径规划方法,辅助外科医生术前路径规划. 在综合考虑导管的直径,血管的长度、最小直径、最大曲率和最大挠率等因素的基础上,引入端结点因子, 改进蚁群算法中的启发式函数和信息素更新机制,最终得到全局最优的规划路径. 实验结果表明, 术前路径规划合理,证明了算法的可靠性和方法的可行性.

Vascular access surgery is difficult and requires precise operation.Thick blood vessels are usually chosen for operation as doctors with different surgical skills generally do not consider possible optimal paths. This study proposes an improved ant colony algorithm to plan a vascular optimal path to assist surgeons with preoperative path planning. A globally optimal path is obtained by modifying a heuristic function and pheromone updated mechanism of the ant colony algorithm based on the overall consideration of factors such as catheter diameter, vascular length, minimal diameter, maximal curvature, maximal torsion, and introduction of end node factors.Experimental results show that the path planning is reasonable, the described algorithm is reliable and the method is feasible.