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Face registration and surgical instrument tracking for image-guided surgical navigation

  • Beihang University

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

Abstract

This paper presents a face registration method and a surgical instrument tracking method for Image-guided Surgical Navigation System (ISNS). In ISNS, we start the process by reconstructing 3d point cloud of patient using a proactive structured light visual system and then accurately complete face registration based on Iterative Closest Point (ICP) algorithm. We utilize special markers to represent the position and attitude of surgical instrument. At a final step, we recognize special markers by a syncretic corner detection algorithm and recover the 3d coordinate to track surgical instrument. To further improve the accuracy and robustness of tracking, we also utilize kalman algorithm to filter out the noise in tracking. We have tested our system on 3d printing model with matched medical data, demonstrating its accuracy and robustness of registration and tracking.

Original languageEnglish
Title of host publicationProceedings - 2016 International Conference on Virtual Reality and Visualization, ICVRV 2016
EditorsDandan Ding, Dangxiao Wang, Jian Chen, Xun Luo
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages65-71
Number of pages7
ISBN (Electronic)9781509051885
DOIs
StatePublished - 1 Jun 2017
Event6th International Conference on Virtual Reality and Visualization, ICVRV 2016 - Hangzhou, Zhejiang, China
Duration: 24 Sep 201626 Sep 2016

Publication series

NameProceedings - 2016 International Conference on Virtual Reality and Visualization, ICVRV 2016

Conference

Conference6th International Conference on Virtual Reality and Visualization, ICVRV 2016
Country/TerritoryChina
CityHangzhou, Zhejiang
Period24/09/1626/09/16

Keywords

  • Registration
  • Structured light
  • Surgical instrument tracking
  • Surgical navigation

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