Development of an image-guided surgical robot for bone tumor resection
文献类型:会议论文
作者 | Liu LQ(刘连庆)3![]() ![]() ![]() ![]() |
出版日期 | 2017 |
会议日期 | December 5-8, 2017 |
会议地点 | Macau, China |
关键词 | Surgical Robot Image-guided surgery Bone Tumor Resection Precision Surgery |
页码 | 2490-2495 |
英文摘要 | The conventional human-performed surgery of bone tumor resection has the drawbacks of imprecise, high labor intense on surgeons, longer recovery time. In this paper, a surgical robot system for bone tumor resection is developed. First the preoperative image of experimental bone is obtained by CT scanning. Then the surgeon is able to plan a surgery path by means of choosing key points on the 3D bone model. Second the relationship between image space and surgical space is established. Finally the surgery path made by the surgeon in image space is mapped to surgical space and robot can receive the commands to operate the surgery. Meanwhile, the position of the surgical tool is displayed in image space in real time. Acetabular bone and thigh bone trials were performed at hospital and the outcome shows the feasibility of using robot to resect bone tumor. |
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
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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 |
源URL | [http://119.78.100.139/handle/173321/22121] ![]() |
专题 | 沈阳自动化研究所_机器人学研究室 |
通讯作者 | Liu H(刘浩); Guo, Zheng(郭征) |
作者单位 | 1.Department of Orthopaedics, Xijing Hospital, Fourth Military Medical University, Xi'an, China 2.Northeastern University, Shenyang, China 3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, China |
推荐引用方式 GB/T 7714 | Liu LQ,Fu, Jun,Guo, Shuo,et al. Development of an image-guided surgical robot for bone tumor resection[C]. 见:. Macau, China. December 5-8, 2017. |
入库方式: OAI收割
来源:沈阳自动化研究所
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