A Novel Registration Method for a Mixed Reality Navigation System Based on a Laser Crosshair Simulator: A Technical Note

Mixed Reality Navigation (MRN) is pivotal in augmented reality-assisted intelligent neurosurgical interventions. However, existing MRN registration methods face challenges in concurrently achieving low user dependency, high accuracy, and clinical applicability. This study proposes and evaluates a no...

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Bibliographic Details
Published in:Bioengineering (Basel) 2023-11, Vol.10 (11), p.1290
Main Authors: Qi, Ziyu, Bopp, Miriam H A, Nimsky, Christopher, Chen, Xiaolei, Xu, Xinghua, Wang, Qun, Gan, Zhichao, Zhang, Shiyu, Wang, Jingyue, Jin, Haitao, Zhang, Jiashu
Format: Article
Language:English
Subjects:
Accuracy
Adaptability
Augmented reality
Bioengineering
Electronics in navigation
laser
Lasers
Localization
Magnetic resonance imaging
Mathematical models
Mixed reality
mixed reality navigation
Navigation systems
Neurosurgery
neurosurgical interventions
preoperative planning
Registration
registration method
Scanners
Simulation
Smartphones
Surgeons
Surgical apparatus & instruments
Technology application
Workflow
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Summary:Mixed Reality Navigation (MRN) is pivotal in augmented reality-assisted intelligent neurosurgical interventions. However, existing MRN registration methods face challenges in concurrently achieving low user dependency, high accuracy, and clinical applicability. This study proposes and evaluates a novel registration method based on a laser crosshair simulator, evaluating its feasibility and accuracy. A novel registration method employing a laser crosshair simulator was introduced, designed to replicate the scanner frame's position on the patient. The system autonomously calculates the transformation, mapping coordinates from the tracking space to the reference image space. A mathematical model and workflow for registration were designed, and a Universal Windows Platform (UWP) application was developed on HoloLens-2. Finally, a head phantom was used to measure the system's target registration error (TRE). The proposed method was successfully implemented, obviating the need for user interactions with virtual objects during the registration process. Regarding accuracy, the average deviation was 3.7 ± 1.7 mm. This method shows encouraging results in efficiency and intuitiveness and marks a valuable advancement in low-cost, easy-to-use MRN systems. The potential for enhancing accuracy and adaptability in intervention procedures positions this approach as promising for improving surgical outcomes.
ISSN:2306-5354
2306-5354
DOI:10.3390/bioengineering10111290