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Real-Time Marker-Free Patient Registration and Image-Based Navigation Using Stereovision for Dental Surgery

  • Conference paper
Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions (MIAR 2013, AE-CAI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8090))

Abstract

Surgical navigation techniques have been evolving rapidly in the field of oral and maxillofacial surgery (OMS). However, challenges still exist in the current state of the art of computer-assisted OMS especially from the viewpoint of dental surgery. The challenges include the invasive patient registration procedure, the difficulty of reference marker attachment, navigation error caused by patient movement, bulky optical markers and maintenance of line of sight for commercial optical tracking devices, inaccuracy and susceptibility of electromagnetic (EM) sensors to magnetic interference for EM tracking devices. In this paper, a new solution is proposed to overcome the mentioned challenges. A stereo camera is designed as a tracking device for both instrument tracking and patient tracking, which is customized optimally for the limited surgical space of dental surgery. A small dot pattern is mounted to the surgical tool for instrument tracking, which can be seen by the camera at all times during the operation. The patient registration is achieved by patient tracking and 3D contour matching with the preoperative patient model, requiring no fiducial marker and reference marker. In addition, the registration is updated in real-time. Experiments were performed to evaluate our method and an average overall error of 0.71 mm was achieved.

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Author information

Authors and Affiliations

  1. Graduate School of Engineering, The University of Tokyo, Tokyo, Japan

    Junchen Wang, Liangjing Yang, Hongen Liao, Etsuko Kobayashi & Ichiro Sakuma

  2. Department of Oral-Maxillofacial Surgery, Dentistry and Orthodontics, The University of Tokyo Hospital, Tokyo, Japan

    Hideyuki Suenaga & Tsuyoshi Takato

  3. School of Medicine, Tsinghua University, Beijing, China

    Hongen Liao

Authors
  1. Junchen Wang
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  2. Hideyuki Suenaga
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  3. Liangjing Yang
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  4. Hongen Liao
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  5. Etsuko Kobayashi
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  6. Tsuyoshi Takato
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  7. Ichiro Sakuma
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Editor information

Editors and Affiliations

  1. Department of Biomedical Engineering, Tsinghua University, Haidan District, 100084, Beijing, China

    Hongen Liao

  2. Mayo Clinic, Biomedical Imaging Resource, 200 First Street SW, 55905, Rochester, MN, USA

    Cristian A. Linte

  3. Department of Mechano-Informatics, The University of Tokyo, Hongo, Bunkyo-ku, 113-8656, Tokyo, Japan

    Ken Masamune

  4. Imaging Research Laboratories, Robarts Research Institute, 100 Perth Dr., N6A 5K8, London, ON, Canada

    Terry M. Peters

  5. Institute for Surgical Technology and Bioinformatics, University of Bern, Stauffacherstraße 78, 3014, Bern, Switzerland

    Guoyan Zheng

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© 2013 Springer-Verlag Berlin Heidelberg

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Wang, J. et al. (2013). Real-Time Marker-Free Patient Registration and Image-Based Navigation Using Stereovision for Dental Surgery. In: Liao, H., Linte, C.A., Masamune, K., Peters, T.M., Zheng, G. (eds) Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions. MIAR AE-CAI 2013 2013. Lecture Notes in Computer Science, vol 8090. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40843-4_2

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  • DOI: https://doi.org/10.1007/978-3-642-40843-4_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40842-7

  • Online ISBN: 978-3-642-40843-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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