A spatial registration method for navigation system combining O-arm with spinal surgery robot
Song GL(宋国立)1; Zhao YW(赵忆文)1; Liu XZ(刘晓壮)1,2; Jiang YX(姜运祥)1; Bai H(白华)1,2
2017
会议日期December 2-4, 2017
会议地点St Petersburg, RUSSIA
页码1-7
英文摘要The minimally invasive surgery in spinal surgery has become increasingly popular in recent years as it reduces the chances of complications during post-operation. However, the procedure of spinal surgery is complicated and the surgical vision of minimally invasive surgery is limited. In order to increase the quality of percutaneous pedicle screw placement, the O-arm that is a mobile intraoperative imaging system is used to assist surgery. The robot navigation system combined with O-arm is also increasing, with the extensive use of O-arm. One of the major problems in the surgical navigation system is to associate the patient space with the intra-operation image space. This study proposes a spatial registration method of spinal surgical robot navigation system, which uses the O-arm to scan a calibration phantom with metal calibration spheres. First, the metal artifacts were reduced in the CT slices and then the circles in the images based on the moments invariant could be identified. Further, the position of the calibration sphere in the image space was obtained. Moreover, the registration matrix is obtained based on the ICP algorithm. Finally, the position error is calculated to verify the feasibility and accuracy of the registration method.
产权排序1
会议录6TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND CONTROL ENGINEERING (ICMCE 2017)
会议录出版者IOP PUBLISHING LTD
会议录出版地BRISTOL, ENGLAND
语种英语
ISSN号1742-6588
WOS记录号WOS:000446926700006
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/23431]  
专题沈阳自动化研究所_机器人学研究室
通讯作者Song GL(宋国立)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, China
2.Northeastern University, China
推荐引用方式
GB/T 7714
Song GL,Zhao YW,Liu XZ,et al. A spatial registration method for navigation system combining O-arm with spinal surgery robot[C]. 见:. St Petersburg, RUSSIA. December 2-4, 2017.
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