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A novel dynamic filed tracking algorithm of mirror-holding robot for minimally invasive surgery

  • Hongmin Zhang
  • , Xiaojian Li
  • , Shuai Ding
  • , Shanlin Yang
  • , Ling Li
  • , Yan Qiu
  • Hefei University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Minimally invasive surgery (MIS) is a surgical treatment with small scar and quick recovery. In MIS, an endoscope is usually carried by surgeon or assistant to observe surgical instruments and focal points. This paper proposes a new camera tracking system to help surgeons observe the operating environment in MIS. Held by the mirror-holding robot, the camera follows the specified tool and focal points intelligently and autonomously. Based on the target in the picture taken by the camera, the system adjusts the camera position, which is dynamic operation field tracking. It helps surgeons observe the operation in real time. The tracking algorithm can ensure the accuracy, safety and real-time tracking of the motion of the camera. The simulation results verified the effectiveness of the algorithm.

Original languageEnglish
Title of host publicationProceedings of the 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages948-953
Number of pages6
ISBN (Electronic)9781728124933
DOIs
StatePublished - Jul 2019
Externally publishedYes
Event2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2019 - Hong Kong, China
Duration: 8 Jul 201912 Jul 2019

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2019-July

Conference

Conference2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2019
Country/TerritoryChina
CityHong Kong
Period8/07/1912/07/19

Keywords

  • Automatic tracking
  • Camera model
  • Minimally invasive surgery
  • Mirror-holding robot
  • Projection theory

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