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|Title:||Toward video-based navigation for endoscopic endonasal skull base surgery|
|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|
|Conference Name:||MICCAI (12th : 2009 : London, U.K.)|
|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; Humans; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Image Enhancement; Subtraction Technique; Endoscopy; Surgery, Computer-Assisted; Craniotomy; Sensitivity and Specificity; Reproducibility of Results; Algorithms; Video Recording|
|Rights:||Copyright Springer-Verlag Berlin Heidelberg 2009|
|Appears in Collections:||Computer Science publications|
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