中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A dynamic point matching for registration in image-guided minimally invasive vascular surgery: A simulation study

文献类型:会议论文

作者Gao WP(高文朋); Fu YL(付宜利); Li ZJ(李在娟); Liu H(刘浩); Wang SG(王树国)
出版日期2013
会议名称2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013
会议日期December 12-14, 2013
会议地点Shenzhen, China
关键词Biomimetics Electromagnets Geometry Optimization Robotics Surgery
页码2019-2024
通讯作者高文朋
中文摘要Registration is a key issue in image-guided minimally invasive vascular surgery (MIVS) when the electromagnetic device is used to tracking the catheter. We assume that the catheter advances in the vessel along the vascular centerline during MIVS. Based on this assumption, we proposed a dynamic point matching approach for registration, of which the transformation is estimated by aligning the point set of catheter's path to that of the vascular centerline. Due to the point set of the path obtained in real time, the point matching is performed dynamically. A matching function is introduced to indicate the correspondence between two point sets. The function is refined to find the optimal correspondence using Relax labeling, which account for local neighborhood structures. The transformation is estimated by minimizing the distance of the optimal corresponding points. A simulation experiment is designed and performed. The results show that the mean±standard deviation of target registration error is 2.72 ±0.03mm. © 2013 IEEE.
收录类别EI ; CPCI(ISTP)
产权排序3
会议录2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-4799-2744-9
WOS记录号WOS:000352739000335
源URL[http://ir.sia.cn/handle/173321/14766]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Gao WP,Fu YL,Li ZJ,et al. A dynamic point matching for registration in image-guided minimally invasive vascular surgery: A simulation study[C]. 见:2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013. Shenzhen, China. December 12-14, 2013.

入库方式: OAI收割

来源:沈阳自动化研究所

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