Performance and Robustness of Automatic Fluoroscopic Image Calibration in a New Computer Assisted Surgery System (original) (raw)

Abstract

In order to improve the clinical usefulness of computer-assisted fluoroscopic navigation, a new algorithm to automatically determine the calibration of fluoroscopic images has been developed. This is a challenging task since the intraoperative images acquired from fluoroscopic systems are often poor, making detection of the calibration grid difficult. Several featurebased methods have been implemented to perform bead detection for automatic detection of the calibration grids. The algorithms include support for multiple fields of view, a feature not supported on any computer assisted systems to date. In order to evaluate the performance of the algorithms, special phantoms were made and a cadaver study was performed to challenge the algorithms. One hundred images were acquired using three different C-Arms (OEC 9600, OEC 9800 and Philips BV-300+) using two different fields of view (nine and twelve inch). The chosen method successfully registered the images in ninety-six of the cases. The images that were not successfully registered were of limited clinical value anyway due to the very poor image quality.

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Authors and Affiliations

  1. Surgical Navigation Specialists, 6509 Airport Rd, Mississauga, ON, Canada, L4V 1S7
    Peter M. Tate, Vladimir Lachine, Liqun Fu, Haniel Croitoru & Marwan Sati

Authors

  1. Peter M. Tate
  2. Vladimir Lachine
  3. Liqun Fu
  4. Haniel Croitoru
  5. Marwan Sati

Editor information

Editors and Affiliations

  1. Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
    Wiro J. Niessen & Max A. Viergever &

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© 2001 Springer-Verlag Berlin Heidelberg

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Tate, P.M., Lachine, V., Fu, L., Croitoru, H., Sati, M. (2001). Performance and Robustness of Automatic Fluoroscopic Image Calibration in a New Computer Assisted Surgery System. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3\_135

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