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Markerless Endoscopic Registration and Referencing

  • Christian Wengert
  • Philippe C. Cattin
  • John M. Duff
  • Charles Baur
  • Gábor Székely
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4190)

Abstract

Accurate patient registration and referencing is a key element in navigated surgery. Unfortunately all existing methods are either invasive or very time consuming. We propose a fully non-invasive optical approach using a tracked monocular endoscope to reconstruct the surgical scene in 3D using photogrammetric methods. The 3D reconstruction can then be used for matching the pre-operative data to the intra-operative scene. In order to cope with the near real-time requirements for referencing, we use a novel, efficient 3D point management method during 3D model reconstruction.

The presented prototype system provides a reconstruction accuracy of 0.1 mm and a tracking accuracy of 0.5 mm on phantom data. The ability to cope with real data is demonstrated by cadaver experiments.

Keywords

Augmented Reality Interest Point Trifocal Tensor Target Anatomy Cadaver Experiment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Christian Wengert
    • 1
  • Philippe C. Cattin
    • 1
  • John M. Duff
    • 2
  • Charles Baur
    • 3
  • Gábor Székely
    • 1
  1. 1.Computer Vision LaboratoryETH ZurichZurichSwitzerland
  2. 2.University Hospital of LausanneLausanneSwitzerland
  3. 3.Virtual Reality and Active InterfacesEPFL LausanneLausanneSwitzerland

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