Toward video-based navigation for endoscopic endonasal skull base surgery.

Daniel Mirota, Hanzi Wang, Russell H Taylor, Masaru Ishii, Gregory Hager

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Endoscopic endonasal skull base surgery (ESBS) requires high accuracy to ensure safe navigation of the critical anatomy at the anterior skull base. Current navigation systems provide approximately 2 mm accuracy. This level of registration error is due in part from the indirect nature of tracking used. We propose a method to directly track the position of the endoscope using video data. Our method first reconstructs image feature points from video in 3D, and then registers the reconstructed point cloud to pre-operative data (e.g. CT/MRI). After the initial registration, the system tracks image features and maintains the 2D-3D correspondence of image features and 3D locations. These data are then used to update the current camera pose. We present registration results within 1 mm, which matches the accuracy of our validation framework.

Original languageEnglish (US)
Title of host publicationMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Pages91-99
Number of pages9
Volume12
EditionPt 1
StatePublished - 2009

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ASJC Scopus subject areas

  • Medicine(all)

Cite this

Mirota, D., Wang, H., Taylor, R. H., Ishii, M., & Hager, G. (2009). Toward video-based navigation for endoscopic endonasal skull base surgery. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention (Pt 1 ed., Vol. 12, pp. 91-99)