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Evaluation of a tool-mounted guidance display for computer-assisted surgery

Published:04 April 2009Publication History

ABSTRACT

We attached a small LCD display and video camera to a surgical drill. The LCD shows the tool position with respect to a planned trajectory, overlaid on video captured by the camera. We performed a user study to determine whether such a tool-mounted guidance display yields faster and more accurate tool placement than the conventional guidance display on a separate computer monitor. Our study showed that the tool-mounted display provides better positional and angular accuracy than the conventional display but that the video camera provides no significant improvement in error.

References

  1. F. S. Azar, N. Perrin, A. Khamene, S. Vogt, and F. Sauer. User performance analysis of different image-based navigation systems for needle placement procedures. In Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, pages 110--121, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  2. H. Gumprecht, D. Widenka, C. Lumenta, R. Maciunas, G. Barnett, P. Kelly, and D. Roberts. Brainlab vectorvision neuronavigation system: Technology and clinical experiences in 131 cases. Neurosurgery, 44(1):97--105, 1999.Google ScholarGoogle ScholarCross RefCross Ref
  3. M. Hayashibe, N. Suzuki, A. Hattori, Y. Otake, S. Suzuki, and N. Nakata. Data-fusion display system with volume rendering of intraoperatively scanned CT images. In Medical Image Computing and Computer-Assisted Intervention, pages 559--566, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. G. Stetten, V. Chib, and R. Tamburo. Tomographic reflection to merge ultrasound images with direct vision. In IEEE Proceedings of the Applied Imagery Pattern Recognition annual workshop, pages 200--205, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. J. Traub, P. Stefan, S. M. Heining, T. Sielhorst, C. Riquarts, E. Euler, and N. Navab. Hybrid navigation interface for orthopedic and trauma surgery. In Medical Image Computing and Computer Assisted Intervention, pages 373--380, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. S. Weber, M. Klein, A. Hein, T. Krueger, T. C. Luth, and J. Bier. The navigated image viewer -- evaluation in maxillofacial surgery. In Medical Image Computing and Computer-Assisted Intervention, pages 762--769, 2003.Google ScholarGoogle ScholarCross RefCross Ref

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  1. Evaluation of a tool-mounted guidance display for computer-assisted surgery

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    • Published in

      cover image ACM Conferences
      CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2009
      2426 pages
      ISBN:9781605582467
      DOI:10.1145/1518701

      Copyright © 2009 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 4 April 2009

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      • short-paper

      Acceptance Rates

      CHI '09 Paper Acceptance Rate277of1,130submissions,25%Overall Acceptance Rate6,199of26,314submissions,24%

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