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An automatic registration method based on fiducial marker for image guided neurosurgery system

  • Beihang University

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

Abstract

Patient-to-image registration is a fundamental step of Image Guided Neurosurgery System. In this paper, we propose an automatic technique to register the patient space with the preoperative images based on fiducial markers. Our technique includes three parts. First, we identify the markers in the image space based on multi-scale features and then cluster all this features to find marker centers. And in patient space, we combine Trajkovicspi0215es and Harrisspi0215es algorithm to detect the corners in the center of the markers and then reconstruct 3D coordinates based on binocular stereo vision. At last, we register these two sets of centers using RANSAC. Experiments show that the marker centers can be localized precisely and the two space can be perfectly registered.

Original languageEnglish
Title of host publicationAsiaSim 2013 - 13th International Conference on Systems Simulation, Proceedings
PublisherSpringer Verlag
Pages114-125
Number of pages12
ISBN (Print)9783642450365
DOIs
StatePublished - 2013
Event13th International Conference on Systems Simulation, AsiaSim 2013 - , Singapore
Duration: 6 Nov 20138 Nov 2013

Publication series

NameCommunications in Computer and Information Science
Volume402
ISSN (Print)1865-0929

Conference

Conference13th International Conference on Systems Simulation, AsiaSim 2013
Country/TerritorySingapore
Period6/11/138/11/13

Keywords

  • Corner detection
  • Fiducial marker detection
  • Image guided neurosurgery system
  • Multi-scale feature
  • Registration

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