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C-arm based image-guided percutaneous puncture of minimally invasive spine surgery
Li Y(李杨)1,2; Liang W(梁炜)1; An HB(安海博)1,2; Zhang YL(张吟龙)1,2; Tan JD(谈金东)3
作者部门工业控制网络与系统研究室
会议名称10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
会议日期October 14, 2017 - October 16, 2017
会议地点Shanghai, China
会议录名称Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
出版者IEEE
出版地New York
2017
页码1-5
收录类别EI
EI收录号20182205255753
产权排序1
ISBN号978-1-5386-1937-7
关键词C-arm Image-guided Calibration Registration Augmented Realit
摘要

Percutaneous Puncture is the first step of minimally invasive spine surgery and has a great visual problem. Although the augmented reality methods are able to deal with the visualization challenge, these methods still utilize artificial patterns as alignment markers to implement virtual-actual merging. Occlusion, shift and damage of these artificial markers will lead to failure of navigation. Therefore, this paper presents a novel framework of augmented reality navigation for percutaneous puncture. We redesign the mobile C-arm with RGB industrial camera. The feature points of lumbar vertebra image are applied as natural markers to achieve augmented reality. We integrate the preoperative 3D model, intraoperative 2D X-ray image and intraoperative 3D scene to provide a straightforward and seamless navigation. Preliminary experiments are conducted on spine phantom in box. The qualitative and quantitative experimental results show that our proposed method performs more accuracy navigation for entry-point localization than another state-of-the-art method.

语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/22066
专题工业控制网络与系统研究室
通讯作者Li Y(李杨)
作者单位1.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;
2.University of Chinese Academy of Sciences, Beijing 100049, China;
3.Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville TN 37996, United States
推荐引用方式
GB/T 7714
Li Y,Liang W,An HB,et al. C-arm based image-guided percutaneous puncture of minimally invasive spine surgery[C]. New York:IEEE,2017:1-5.
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