Augmented reality system training for minimally invasive spine surgery

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	Augmented reality system training for minimally invasive spine surgery
	Liu XZ(刘晓壮)1,2; Song GL(宋国立)1 ; Zhao YW(赵忆文)1 ; Han JD(韩建达)1 ; Bai H(白华)1
	2017
会议日期	December 5-8, 2017
会议地点	Macau, China
关键词	Pedicle screw Augmented reality Surgery training Spine minimally invasive surgery Real force feedback
页码	1200-1205
英文摘要	The minimally invasive spine surgery has been popular in recent years as it reduces the chances of complications during intraoperation and postoperation. However, the procedure of pedicle screw insertion is complicated and has a steep learning curve during this surgery. A minimally invasive spine system training is developed with real force feedback and an assessment of performance as a training tool for a common spine minimally invasive procedure-pedicle screw insertion, helping to minimize possible risks and expenses due to the learning curve of trainees. The minimally invasive spine system training based on augmented reality consists of a physical and a virtual components. A physical model of the spine is created with a three-dimensional printer using specific patient data. The virtual one is created with the computed tomography scan of the physical spine model attached with four markers displaying on a screen of computer called the virtual three-dimensional space. Two IR cameras are used to track the movement of the training instrument in the real-world space. The position of the training instrument in virtual three-dimensional space can be obtained by the space registration algorithm according to the position of the training instrument in the real-world space. Using the aforementioned techniques, we have developed the minimally invasive spine system training providing the trainee with real force feedback in real time and creating a standardized scoring system that compares a trainee's performance to that of an expert. The design and implementation of the minimally invasive spine system training are presented.
源文献作者	Beijing Institute of Technology ; City University of Hong Kong ; IEEE Robotics and Automation Society ; Shenzhen Academy of Robotics ; University of Hong Kong ; University of Macau
产权排序	1
会议录	Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISBN号	978-1-5386-3741-8
内容类型	会议论文
源URL	[http://119.78.100.139/handle/173321/22128]
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.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 2.Northeastern University, Shenyang, China
推荐引用方式 GB/T 7714	Liu XZ,Song GL,Zhao YW,et al. Augmented reality system training for minimally invasive spine surgery[C]. 见:. Macau, China. December 5-8, 2017.