Navigation method for mandible reconstruction surgery robot

Xiangzhan Kong, Xingguang Duan*, Yonggui Wang, Meng Li, Yang Yang, Amjad Ali Syed, Chang Li

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)
Plum Print visual indicator of research metrics
  • Citations
    • Citation Indexes: 1
  • Captures
    • Readers: 9
see details

Abstract

Mandible reconstruction surgery is an extremely complex and high-risk surgical surgery. The aim of the project is to import the robotics technology into mandible reconstruction surgery, which can reduce the workload for doctors, decrease the difficulty of operation and improve the accuracy and quality of surgery. The development of Mandible Reconstruction Surgery Robotic System (MRSRS) provides a solution by integrating pre-operative 3D reconstruction and surgery design, optical navigation system, and intro-operative robot-assisted operation. In this paper, the whole robotic system was introduced firstly. Secondly, a novel Mandible Reconstruction Surgery Multi-arm Robot (MRSMR) and its optical navigation system were developed to assist surgeons. The navigation method of MRSMR was highlighted. At last, the accuracy test of the medical robot was conducted. The skull model experiment is finished to evaluate the robotic system.

Original languageEnglish
Pages250-255
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013 - Shenzhen, China
Duration: 12 Dec 201314 Dec 2013

Conference

Conference2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013
Country/TerritoryChina
CityShenzhen
Period12/12/1314/12/13

Fingerprint

Dive into the research topics of 'Navigation method for mandible reconstruction surgery robot'. Together they form a unique fingerprint.

Cite this

Kong, X., Duan, X., Wang, Y., Li, M., Yang, Y., Syed, A. A., & Li, C. (2013). Navigation method for mandible reconstruction surgery robot. 250-255. Paper presented at 2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013, Shenzhen, China. https://doi.org/10.1109/ROBIO.2013.6739467