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access icon openaccess Towards X-ray free endovascular interventions – using HoloLens for on-line holographic visualisation

A major challenge during endovascular interventions is visualising the position and orientation of the catheter being inserted. This is typically achieved by intermittent X-ray imaging. Since the radiation exposure to the surgeon is considerable, it is desirable to reduce X-ray exposure to the bare minimum needed. Additionally, transferring two-dimensional (2D) X-ray images to 3D locations is challenging. The authors present the development of a real-time navigation framework, which allows a 3D holographic view of the vascular system without any need of radiation. They extract the patient's surface and vascular tree from pre-operative computed tomography data and register it to the patient using a magnetic tracking system. The system was evaluated on an anthropomorphic full-body phantom by experienced clinicians using a four-point questionnaire. The average score of the system (maximum of 20) was found to be 17.5. The authors’ approach shows great potential to improve the workflow for endovascular procedures, by simultaneously reducing X-ray exposure. It will also improve the learning curve and help novices to more quickly master the required skills.

References

    1. 1)
    2. 2)
      • 6. Cui, N., Kharel, P., Gruev, V.: ‘Augmented reality with Microsoft HoloLens holograms for near infrared fluorescence based image guided surgery’. SPIE 10049 Molecular-Guided Surgery: Molecules, Devices, and Applications III, 2017.
    3. 3)
    4. 4)
      • 5. Meola, A., Cutolo, F., Carbone, M., et al: ‘Augmented reality in neurosurgery: a systematic review’, Neurosurg. Rev., 2016, 40, (148), pp. 112.
    5. 5)
    6. 6)
      • 14. Garon, M., Boulet, P., Doironz, J., et al: ‘Real-time high resolution 3D data on the HoloLens’. IEEE Int. Symp. on Mixed and Augmented Reality, 2016, pp. 189191.
    7. 7)
      • 11. Martens, V., Ernst, F., Fränkler, T., et al: ‘Ein client-server framework für Trackingsysteme in medizinischen Assistenzsystemen’. 7. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC), 2008, pp. 710.
    8. 8)
      • 9. Parrini, S., Cutolo, F., Freschi, C., et al: ‘Augmented reality system for freehand guide of magnetic endovascular devices’. Engineering in Medicine and Biology Society (EMBC) 36th Annual Int. Conf., 2014, pp. 490493.
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
      • 8. Waltermann, C., Koch, J., Angelmahr, M., et al: ‘Femtosecond laser aided processing of optical sensor fibers for 3D medical navigation and tracking (FiberNavi)’. SPIE 9157, 23rd Int. Conf. on Optical Fibre Sensors, 2014.
    14. 14)
http://iet.metastore.ingenta.com/content/journals/10.1049/htl.2017.0061
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