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Type: Conference paper
Title: Toward video-based navigation for endoscopic endonasal skull base surgery
Author: Mirota, D.
Wang, H.
Taylor, R.
Ishii, M.
Hager, G.
Citation: Proceedings of the 12th Medical Image Computing and Computer-assisted Intervention (MICCAI 2009)(Part 1), London, U.K, September 2009 / G. Yang, D. Hawkes, D. Rueckert, A. Noble and C. Taylor (eds.): pp.91-99
Publisher: Springer
Publisher Place: Germany
Issue Date: 2009
ISBN: 3642042678
ISSN: 0302-9743
Conference Name: MICCAI (12th : 2009 : London, U.K.)
Statement of
Daniel Mirota, Hanzi Wang, Russell H. Taylor, Masaru Ishii and Gregory D. Hager
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 2mm 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 1mm, which matches the accuracy of our validation framework.
Keywords: Skull Base
Nasal Cavity
Image Interpretation, Computer-Assisted
Imaging, Three-Dimensional
Image Enhancement
Subtraction Technique
Surgery, Computer-Assisted
Sensitivity and Specificity
Reproducibility of Results
Video Recording
Rights: Copyright Springer-Verlag Berlin Heidelberg 2009
DOI: 10.1007/978-3-642-04268-3_12
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Computer Science publications

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