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MARIN: an open-source mobile augmented reality interactive neuronavigation system

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

Neuronavigation systems making use of augmented reality (AR) have been the focus of much research in the last couple of decades. In recent years, there has been considerable interest in using mobile devices for AR in the operating room (OR). We propose a complete system that performs real-time AR video augmentation on a mobile device in the context of image-guided neurosurgery.

Methods

MARIN (mobile augmented reality interactive neuronavigation system) improves upon the state of the art in terms of performance, allowing real-time augmentation, and interactivity by allowing users to interact with the displayed data. The system was tested in a user study with 17 subjects for qualitative and quantitative evaluation in the context of target localization and brought into the OR for preliminary feasibility tests, where qualitative feedback from surgeons was obtained.

Results

The results of the user study showed that MARIN performs significantly better in terms of both time (\(p <0.0004\)) and accuracy (\(p <0.04\)) for the task of target localization in comparison with a traditional image-guided neurosurgery (IGNS) navigation system. Further, MARIN AR visualization was found to be more intuitive and allowed users to estimate target depth more easily.

Conclusion

MARIN improves upon previously proposed mobile AR neuronavigation systems with its real-time performance, higher accuracy, full integration in the normal workflow and greater interactivity and customizability of the displayed information. The improvement in efficiency and usability over previous systems will facilitate bringing AR into the OR.

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Acknowledgements

This work was supported by the Fond de recherche du Québec - Nature et technologie and the Natural Sciences and Engineering Research Council of Canada.

Funding

Funding was provided by the Natural Sciences and Engineering Research Council of Canada (Grant Number n01573) and Fonds de Recherche du Québec - Nature et Technologies (Grant Number FE0223).

Author information

Authors and Affiliations

  1. Department of Computer Science and Software Engineering, Concordia University, 1455 Boul. de Maisonneuve O., Montreal, QC H3G 1M8, Canada

    Étienne Léger, Jonatan Reyes, Tiberiu Popa & Marta Kersten-Oertel

  2. Department of Software Engineering and Information Technology, École des Technologies Supérieures, 1100 Notre-Dame St. W., Montreal, QC H3G 1K3, Canada

    Simon Drouin

  3. PERFORM Center, Concordia University, 1455 Boul. de Maisonneuve O., Montreal, QC H3G 1M8, Canada

    Tiberiu Popa & Marta Kersten-Oertel

  4. Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, 3801 University St., Montreal, QC H3A 2B4, Canada

    Jeffery A. Hall

  5. McConnell Brain Imaging Center at the Montreal Neurological Institute, McGill University, 3801 University St., Montreal, QC H3A 2B4, Canada

    D. Louis Collins

Authors
  1. Étienne Léger
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  2. Jonatan Reyes
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  7. Marta Kersten-Oertel
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Corresponding author

Correspondence to Étienne Léger.

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The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the University Human Research Ethics Committee (Certification Number: 30007443).

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Informed consent was obtained from all participants included in the study.

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Léger, É., Reyes, J., Drouin, S. et al. MARIN: an open-source mobile augmented reality interactive neuronavigation system. Int J CARS 15, 1013–1021 (2020). https://doi.org/10.1007/s11548-020-02155-6

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  • DOI: https://doi.org/10.1007/s11548-020-02155-6

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