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A method for evaluating CT-based surgical registration

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

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1205))

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.

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Author information

Authors and Affiliations

  1. Computing and Information Science, Queen's University at Kingston, Ontario, Canada

    R. E. Ellis & D. J. Fleet

  2. Mechanical Engineering, Queen's University at Kingston, Ontario, Canada

    R. E. Ellis & J. T. Bryant

  3. Surgery, Queen's University at Kingston, Ontario, Canada

    J. Rudan

  4. Radiology, Queen's University at Kingston, Ontario, Canada

    P. Fenton

Authors
  1. R. E. Ellis
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  2. D. J. Fleet
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  3. J. T. Bryant
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  4. J. Rudan
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  5. P. Fenton
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Editor information

Jocelyne Troccaz Eric Grimson Ralph Mösges

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© 1997 Springer-Verlag Berlin Heidelberg

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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

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  • 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

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