摘要
电子计算机断层扫描(CT)引导下经皮肺穿刺是获取肺部病变组织以确诊肺癌的最有效的手段之一,规划科学合理的穿刺路径是避免穿刺并发症,减少患者痛苦及穿刺死亡率的重要环节。本文提出了一种基于多级约束的肺部穿刺路径规划方法:首先利用患者CT建立胸部数字化模型;然后在以肿瘤病灶为中心的理想球面上构造斐波那契网格采样,得到待选路径集合;最后根据临床穿刺准则提出了一种多级约束策略,并结合方向包围盒层次树(OBBTree)算法和帕累托(Pareto)优化算法,获取最优穿刺路径。模拟仿真实验结果证明了该算法的有效性,能够规避物理和生理障碍,可以作为医生选择穿刺路径的辅助手段。
Percutaneous pulmonary puncture guided by computed tomography(CT) is one of the most effective tools for obtaining lung tissue and diagnosing lung cancer. Path planning is an important procedure to avoid puncture complications and reduce patient pain and puncture mortality. In this work, a path planning method for lung puncture is proposed based on multi-level constraints. A digital model of the chest is firstly established using patient’s CT image. A Fibonacci lattice sampling is secondly conducted on an ideal sphere centered on the tumor lesion in order to obtain a set of candidate paths. Finally, by considering clinical puncture guidelines, an optimal path can be obtained by a proposed multi-level constraint strategy, which is combined with oriented bounding box tree(OBBTree) algorithm and Pareto optimization algorithm. Results of simulation experiments demonstrated the effectiveness of the proposed method, which has good performance for avoiding physical and physiological barriers. Hence, the method could be used as an aid for physicians to select the puncture path.
作者
孙峰辉
裴宏亮
杨逸飞
樊庆文
李晓欧
SUN Fenghui;PEI Hongliang;YANG Yifei;FAN Qingwen;LI Xiao'ou(School of Mechanical Engineering,Sichuan University,Chengdu 610065,P.R.China;Department of Respiratory and Critical Care Medicine,West China Hospital,Sichuan University,Chengdu 610041,P.R.China)
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2022年第3期462-470,共9页
Journal of Biomedical Engineering
基金
国家自然科学基金资助项目(52105115,62120106011)
国家重点研发计划(2021YFB3300801)
四川省苗子工程项目(2020JDRC0029)
四川省重点研发项目(22ZDYF2983)。
关键词
肺穿刺路径规划
斐波那契网格
多级约束
方向包围盒层次树
帕累托优化
Lung puncture trajectory planning
Fibonacci lattice
Multi-level constraint
Oriented bounding box tree
Pareto optimization
