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International Conference on Medical Image Computing and Computer-Assisted Intervention

MICCAI 2012: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 pp 18–25Cite as

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Radiation-Free Drill Guidance in Interlocking of Intramedullary Nails

Radiation-Free Drill Guidance in Interlocking of Intramedullary Nails

  • Benoit Diotte19,
  • Pascal Fallavollita19,
  • Lejing Wang19,
  • Simon Weidert20,
  • Peter-Helmut Thaller20,
  • Ekkehard Euler20 &
  • …
  • Nassir Navab19 
  • Conference paper
  • 5583 Accesses

  • 13 Citations

Part of the Lecture Notes in Computer Science book series (LNIP,volume 7510)

Abstract

Intramedullary nailing is a technically demanding procedure which involves an excessive amount of X-ray acquisitions; one study lists as many as 48 to successfully complete the procedure. In this work, a novel low cost radiation-free drilling guide is designed to assist surgeons in completing the distal locking procedure without any X-ray acquisitions. Using an augmented reality fluoroscope that coregisters optical and X-ray images, we exploit solely the optical images to detect the drilling guide in order to estimate the tip position in real-time in X-ray. We tested over 200 random drill guide poses showing a mean tip-estimation error of 1.72 ± 0.7 mm which is significantly robust and accurate for the interlocking. In a preclinical study on dry bone phantom, three expert surgeons successfully completed the interlocking 56 out of 60 trials with no X-ray acquisition for guidance and an average time of 2 min.

Keywords

  • Augmented Reality
  • Intramedullary Nail
  • Expert Surgeon
  • Humeral Shaft Fracture
  • Drill Guide

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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References

  1. Leloup, T., El Kazzi, W., Schuind, F., Warzee, N.: A novel technique for distal locking of intramedullary nail based on two non-constrained fluoroscopic images and navigation. IEEE Transactions on Medical Imaging 27(9), 1202–1212 (2008)

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  6. Wang, L., Landes, J., Weidert, S., Blum, T., von der Heide, A., Euler, E., Navab, N.: First Animal Cadaver Study for Interlocking of Intramedullary Nails under Camera Augmented Mobile C-arm. In: Navab, N., Jannin, P. (eds.) IPCAI 2010. LNCS, vol. 6135, pp. 56–66. Springer, Heidelberg (2010)

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  7. Whatling, G., Nokes, L.: Literature review of current techniques for the insertion of distal screws into intramedullary locking nails. Injury 37(2), 109–119 (2006)

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  8. Yaniv, Z., Joskowicz, L., Member, S.: Precise robot-assisted guide positioning for distal locking of intramedullary nails. IEEE Transactions on Medical Imaging 24(5), 624–635 (2005)

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Author information

Authors and Affiliations

  1. Computer Aided Medical Procedures (CAMP), TU Munich, Germany

    Benoit Diotte, Pascal Fallavollita, Lejing Wang & Nassir Navab

  2. Trauma Surgery Department, Klinikum Innenstadt, LMU Munich, Germany

    Simon Weidert, Peter-Helmut Thaller & Ekkehard Euler

Authors
  1. Benoit Diotte
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  2. Pascal Fallavollita
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  3. Lejing Wang
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  4. Simon Weidert
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  5. Peter-Helmut Thaller
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  6. Ekkehard Euler
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  7. Nassir Navab
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Editor information

Editors and Affiliations

  1. Inria Sophia Antipolis, Project Team Asclepios, 06902, Sophia-Antipolis, France

    Nicholas Ayache & Hervé Delingette & 

  2. MIT, CSAIL, 02139,, Cambridge,, MA, USA

    Polina Golland

  3. Information and Communication, Nagoya University, 464-8603, Headquarters, Nagoya, Japan

    Kensaku Mori

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Diotte, B. et al. (2012). Radiation-Free Drill Guidance in Interlocking of Intramedullary Nails. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. MICCAI 2012. Lecture Notes in Computer Science, vol 7510. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33415-3_3

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  • DOI: https://doi.org/10.1007/978-3-642-33415-3_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33414-6

  • Online ISBN: 978-3-642-33415-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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