[go: up one dir, main page]

Skip to main content

A method for evaluating CT-based surgical registration

  • Validation of Registration Techniques
  • Conference paper
  • First Online:
CVRMed-MRCAS'97 (CVRMed 1997, MRCAS 1997)

Abstract

Workers in medical robotics and computer-assisted surgery are increasingly concerned with the accuracy of rigid registration of preoperative medical images to intraoperative data. Much of the work on evaluation methods is limited by a fundamental dilemma: either the method works only in vitro and provides absolute accuracy, or the method works in vivo but provides only relative accuracy.

Previously, we developed a biocompatible fiducial marker and a CT-based detection technology that make it possible to evaluate the absolute in vivo accuracy of registrations. We have now developed a mathematical approach to evaluating accuracy, and have applied the method in a phantom study.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. R. E. Ellis, S. Toksvig-Larsen, M. Marcacci, D. Caramella, and M. Fadda. “Use of a biocompatible fiducial marker in evaluating the accuracy of CT image registration”. Investigative Radiology, October, 1996.

    Google Scholar 

  2. A. Garg and P. W. Walker. “Prediction of total knee motion using a three-dimensional computer-graphics model”. Journal of Biomechanics, 23(1):45–58, 1989.

    Article  Google Scholar 

  3. W. E. L. Grimson, T. Lozano-Pérez, W. M. Wells III, G. T. Ettinger, S. J. White, and R. Kikinis. “Automated registration for enhanced visualization in surgery”. In Proceedings of the International Symposium on Medical Robotics and Computer Assisted Surgery, pages 82–89, 1994.

    Google Scholar 

  4. W. E. L. Grimson, G. J. Ettinger, S. J. White, P. L. Gleason, T. Lozano-Pérez, W. M. Wells III, and R. Kikinis. “Evaluating and validating an automated registration system for enhanced reality visualization in surgery”. In Proceedings of the International Conference on Computer Vision, Virtual Reality and Robotics in Medicine, pages 3–12, 1995.

    Google Scholar 

  5. O. M. Mahoney, P. C. Noble, D. D. Rhoads, J. W. Alexander, and H. S. Tullos. “Posterior cruciate function following total knee arthroplasty: A biomechanical study”. The Journal of Arthroplasty, 9(6):569–578, 1994.

    Article  PubMed  Google Scholar 

  6. R. M. Murray, Z. Li, and S. S. Sastry. A Mathematical Introduction to Robotic Manipulation. CRC Press, Boca Raton, FL, 1993.

    Google Scholar 

  7. R. Rohling, P. Munger, J. M. Hollerbach, and T. Peters. “Comparison of relative accuracy between a mechanical and an optical position tracker for image-guided neurosurgery”. In Proceedings of the International Symposium on Medical Robotics and Computer Assisted Surgery, pages 277–282, 1994.

    Google Scholar 

  8. G. Selvik. “Roentgen stereophotogrammetry: A method for the study of the kinematics of the skeletal system”. Acta Orthopœdica Scandinavia, 57(Suppl. 232):1–51, 1989.

    Google Scholar 

  9. D. A. Simon, M. Hebert, and T. Kanade. “Techniques for fast and accurate intrasurgical registration”. In Proceedings of the International Symposium on Medical Robotics and Computer Assisted Surgery, pages 90–97, 1994.

    Google Scholar 

  10. D. A. Simon, R. V. O'Toole, M. Blackwell, F. Morgan, A. M. DiGioia, and T. Kanade. “Accuracy validation in image-guided orthopaedic surgery”. In Proceedings of the International Symposium on Medical Robotics and Computer Assisted Surgery, pages 185–192, 1995.

    Google Scholar 

  11. R. H. Taylor, B. D. Mittelstadt, H. A. Paul, W. Hanson, P. Kazanides, J. F. Zuhars, B. Williamson, B. L. Musits, E. Glassman, and W. Bargar. “An image-directed robotic system for precise orthopaedic surgery”. IEEE Transactions on Robotics and Automation, 10(3):261–275, 1994.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Jocelyne Troccaz Eric Grimson Ralph Mösges

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ellis, R.E., Fleet, D.J., Bryant, J.T., Rudan, J., Fenton, P. (1997). A method for evaluating CT-based surgical registration. In: Troccaz, J., Grimson, E., Mösges, R. (eds) CVRMed-MRCAS'97. CVRMed MRCAS 1997 1997. Lecture Notes in Computer Science, vol 1205. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029233

Download citation

  • DOI: https://doi.org/10.1007/BFb0029233

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62734-0

  • Online ISBN: 978-3-540-68499-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics