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Computer-Aided Implant Dentistry

– An Early Report –

  • Conference paper
  • pp 883–891
  • Cite this conference paper
Medical Image Computing and Computer-Assisted Intervention – MICCAI’99 (MICCAI 1999)
Computer-Aided Implant Dentistry
  • Wolfgang Birkfellner6,
  • Peter Solar7,
  • André Gahleitner7,8,
  • Klaus Huber6,
  • Franz Kainberger8,
  • Joachim Kettenbach9,
  • Peter Homolka6,
  • Markus Diemling6,
  • Georg Watzek7 &
  • …
  • Helmar Bergmann6,10 

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1679))

Included in the following conference series:

  • International Conference on Medical Image Computing and Computer-Assisted Intervention
  • 2412 Accesses

  • 5 Citations

Abstract

Computer-aided implant dentistry (CAID), the direct translation of preoperative prosthetic planning to the operating theater by means of image guidance technologies, is a novel application of computer aided surgery (CAS). This work deals with the application of a modular software system for computer-aided interventions to CAID. The system is based on AVW-2.5, a software library dedicated to biomedical image processing, and a custom interface for communication with an optical tracker. A specific CAID toolset was also manufactured. We assessed the performance of two different point-based registration algorithms for this specific application of computer-aided preprosthetic surgery on several jaw models. The fiducial localization error (FLE) achievable with our system was found to be 0.7 mm, the fiducial registration error (FRE) accounted for 0.7 mm, and the target registration error TRE (the overall navigation accuracy) was found to be 1.3 mm. Since these results compare well to the resolution of the high-resolution computed tomography scan used we consider the precision of our system to be sufficient. Future enhancements of our system include the implementation of a medical augmented reality display system and the customization of the software package for exploration of other clinical applications of CAS.

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Author information

Authors and Affiliations

  1. Department of Biomedical Engineering and Physics, General Hospital Vienna, University of Vienna, Austria

    Wolfgang Birkfellner, Klaus Huber, Peter Homolka, Markus Diemling & Helmar Bergmann

  2. Department of Oral Surgery, Dental School, University of Vienna, Austria

    Peter Solar, André Gahleitner & Georg Watzek

  3. Department of Diagnostic Radiology, Division of Osteoradiology, General Hospital Vienna, University of Vienna, Austria

    André Gahleitner & Franz Kainberger

  4. Department of Diagnostic Radiology, Division of Angiography and Interventional Radiology, General Hospital Vienna, University of Vienna, Austria

    Joachim Kettenbach

  5. Ludwig-Boltzmann Institute of Nuclear Medicine, University of Vienna, Austria

    Helmar Bergmann

Authors
  1. Wolfgang Birkfellner
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  2. Peter Solar
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  3. André Gahleitner
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  4. Klaus Huber
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  5. Franz Kainberger
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  6. Joachim Kettenbach
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  7. Peter Homolka
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  8. Markus Diemling
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  9. Georg Watzek
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  10. Helmar Bergmann
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Editor information

Editors and Affiliations

  1. Imaging Sciences, University of Manchester, Manchester, UK

    Chris Taylor

  2. University of Kent, CT2 7NT, Canterbury, Kent, UK

    Alain Colchester

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© 1999 Springer-Verlag Berlin Heidelberg

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Cite this paper

Birkfellner, W. et al. (1999). Computer-Aided Implant Dentistry. In: Taylor, C., Colchester, A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI’99. MICCAI 1999. Lecture Notes in Computer Science, vol 1679. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10704282_96

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  • DOI: https://doi.org/10.1007/10704282_96

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66503-8

  • Online ISBN: 978-3-540-48232-1

  • eBook Packages: Springer Book Archive

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Keywords

  • Augmented Reality
  • Registration Error
  • Registration Algorithm
  • Target Registration Error
  • Optical Tracking System

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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