Own experience of using holographic neuronavigation using an augmented reality helmet in neurosurgery

Volodymyr O. Piatykop, Vladyslav I. Kaliuzhka, Mykyta A. Markevych, Iurii O. Babalian, Maksym M. Khaustov
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Abstract

Objective: to optimize surgical access to intracranial lesions (tumors, arteriovenous malformations, cysts, etc.) by using a holographic neuronavigation system with augmented reality helmet. Materials and methods: The study included thirty-four patients who underwent cerebral neurosurgical interventions. Creation and clinical use of mixed reality neuronavigation (MRN) system holograms was possible in all cases, which allowed accurate localization of lesions. The additional time required for synchronizing the MRN system with the clinical environment was estimated, which decreased with the number of MRN system uses. Operators evaluated the effectiveness of the technology and in most cases provided positive evaluations after use. Results: A semi-automatic MRN recording system on HoloLens smart glasses has been developed and tested for accuracy and performance. 34 patients with intracranial lesions were prospectively included in the study. Three-dimensional holograms of lesions, markers, and surrounding anatomical landmarks based on multimodal imaging were generated for each patient and then imported into the MRN system in AR helmet. After point recording, holograms were projected onto the patient’s head and observed through the AR helmet during the planning and conducting of surgical interventions. Conclusions: In this small pilot study, the authors found that mixed reality neuronavigation system MRN can be applied in the workflow of a neurosurgical operating room and is a possible method of preoperative identification of lesion boundaries for surgical access planning. Future studies are needed to identify strategies to improve and optimize the accuracy of MRN system.
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在神经外科中使用增强现实头盔使用全息神经导航的亲身体验
目的:利用增强现实头盔全息神经导航系统优化颅内病变(肿瘤、动静脉畸形、囊肿等)的手术通路。材料和方法:本研究包括34例接受脑神经外科干预的患者。在所有病例中,混合现实神经导航(MRN)系统全息图的创建和临床应用都是可能的,这可以准确定位病变。估计MRN系统与临床环境同步所需的额外时间,随着MRN系统使用次数的增加而减少。作业公司对该技术的有效性进行了评估,在大多数情况下,使用后都给出了积极的评价。在HoloLens智能眼镜上开发了一种半自动核磁共振记录系统,并对其准确性和性能进行了测试。34例颅内病变患者被前瞻性纳入研究。为每位患者生成基于多模态成像的病变、标记物和周围解剖标志的三维全息图,然后导入AR头盔的MRN系统。点记录后,在手术干预的计划和实施过程中,将全息图投影到患者的头部并通过AR头盔观察。结论:在这个小型的试点研究中,作者发现混合现实神经导航系统MRN可以应用于神经外科手术室的工作流程,并且是术前识别病变边界的一种可能的方法,用于手术通路规划。未来的研究需要确定策略来提高和优化MRN系统的准确性。
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