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ASSESSMENT OF ACCURACY OF MIXED REALITY DEVICE FOR NEURONAVIGATION: PROPOSED METHODOLOGY AND RESULTS

Accepted version
Peer-reviewed

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Authors

Jain, Swati 
Tajsic, Tamara 
Das, Tilak 
Gao, Yujia 
Ngiam, Kee Yuan 

Abstract

Intra-operative neuronavigation is currently an essential for neurosurgical operations in several contexts. Recent progress in Mixed Reality (MR) technology has attempted to overcome the disadvantages of standard neuronavigation systems allowing the surgeon to superimpose a 3D rendered image onto the patient’s anatomy. We present the first study in literature to assess the surface matching accuracy of MR rendered image. For the purposes of this study, we used HoloLens 2 with Virtual Surgery Intelligence (VSI) providing the software capability for image rendering. To assess the accuracy of using mixed reality device for neuronavigation intraoperatively. The study seeks to assess the accuracy of rendered holographic images from a mixed reality device as a means for neuronavigation intra-operatively. We used the ROWENA to represent a patient’s skull with intracranial components which underwent standardized CT and MRI imaging. 11 pre-defined points were used for purposes of assessing the accuracy of the rendered image, compared to the intraoperative gold standard neuronavigation. The mean HoloLens values against the ground truth were significantly higher when compared to Stealth using CT scan as the imaging modality. Using extracranial anatomical landmarks, the HoloLens error values continued to be significantly higher in magnitude when compared to Stealth across CT and MRI. The study provides a relatively easy and feasible method to assess accuracy of MR based navigation without requiring any additions to the established imaging protocols. We failed to show the equivalence

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Journal Title

Neurosurgery Open

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Journal ISSN

2633-0873

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Sponsorship
Royal College of Surgeons of England (2016/2017)