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Workshop on Clinical Image-Based Procedures

CLIP 2015: Clinical Image-Based Procedures. Translational Research in Medical Imaging pp 28–35Cite as

Improving Patient Specific Neurosurgical Models with Intraoperative Ultrasound and Augmented Reality Visualizations in a Neuronavigation Environment

Part of the Lecture Notes in Computer Science book series (LNIP,volume 9401)

Abstract

We present our work to combine intraoperative ultrasound imaging and augmented reality visualization to improve the use of patient specific models throughout image-guided neurosurgery in the context of tumour resections. Preliminary results in a study of 3 patients demonstrate the successful combination of the two technologies as well as improved accuracy of the patient-specific models throughout the surgery. The augmented reality visualizations enabled the surgeon to accurately visualize the anatomy of interest for an extended period of the intervention. These results demonstrate the potential for these technologies to become useful tools for neurosurgeons to improve patient-specific planning by prolonging the use of reliable neuronavigation.

Keywords

  • Graphic Processing Unit
  • Augmented Reality
  • Registration Error
  • Target Registration Error
  • Brain Shift

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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Acknowledgements

We acknowledged funding support from Canadian Institutes of Health Research (MOP-84360 and MOP-111169), the Canadian National Science and Engineering Research Council (238739) and Brain Canada.

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Authors and Affiliations

  1. McConnell Brain Imaging Center, MNI, McGill University, Montreal, Canada

    Ian J. Gerard, Marta Kersten-Oertel, Simon Drouin, Tal Arbel & D. Louis Collins

  2. Department of Neurosurgery, McGill University, Montreal, QC, Canada

    Jeffery A. Hall, Kevin Petrecca & D. Louis Collins

  3. Centre for Intelligent Machines, McGill University, Montreal, QC, Canada

    Dante De Nigris, Tal Arbel & D. Louis Collins

Authors
  1. Ian J. Gerard
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  2. Marta Kersten-Oertel
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  3. Simon Drouin
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  4. Jeffery A. Hall
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  5. Kevin Petrecca
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  6. Dante De Nigris
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  7. Tal Arbel
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  8. D. Louis Collins
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Corresponding author

Correspondence to Ian J. Gerard .

Editor information

Editors and Affiliations

  1. Fraunhofer IGD, Darmstadt, Hessen, Germany

    Cristina Oyarzun Laura

  2. Children's National Health System, Washington, DC, USA

    Raj Shekhar

  3. Fraunhofer IGD, Darmstadt, Hessen, Germany

    Stefan Wesarg

  4. ICREA - Universitat Pompeu Fabra, Barcelona, Spain

    Miguel Ángel González Ballester

  5. Fraunhofer IGD, Darmstadt, Hessen, Germany

    Klaus Drechsler

  6. Nara Inst. of Science and Tech. (NAIST), Ikoma, Nara, Japan

    Yoshinobu Sato

  7. Fraunhofer IDM@NTU, Singapore, Singapore

    Marius Erdt

  8. Children's National Health System, Washington, District of Columbia, USA

    Marius George Linguraru

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Gerard, I.J. et al. (2016). Improving Patient Specific Neurosurgical Models with Intraoperative Ultrasound and Augmented Reality Visualizations in a Neuronavigation Environment. In: , et al. Clinical Image-Based Procedures. Translational Research in Medical Imaging. CLIP 2015. Lecture Notes in Computer Science(), vol 9401. Springer, Cham. https://doi.org/10.1007/978-3-319-31808-0_4

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  • DOI: https://doi.org/10.1007/978-3-319-31808-0_4

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  • Publisher Name: Springer, Cham

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