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A Novel Registration Method for a Mixed Reality Navigation System Based on a Laser Crosshair Simulator: A Technical
Ziyu Qi1,2, Miriam H A Bopp2,3, Christopher Nimsky2,3
1Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.
Bioengineering (Basel, Switzerland)
|November 25, 2023
Summary
This study introduces a novel laser crosshair simulator for Mixed Reality Navigation (MRN) in neurosurgery, reducing user dependency and improving accuracy. The system achieved an average deviation of 3.7 mm, offering a low-cost, intuitive solution for augmented reality-assisted interventions.
Area of Science:
- Neurosurgery
- Medical Imaging
- Augmented Reality
Background:
- Mixed Reality Navigation (MRN) is crucial for augmented reality-assisted neurosurgery.
- Current MRN registration methods struggle with user dependency, accuracy, and clinical use.
Purpose of the Study:
- To propose and evaluate a novel registration method for MRN using a laser crosshair simulator.
- To assess the feasibility, accuracy, and user-friendliness of the new system.
Main Methods:
- Developed a laser crosshair simulator to replicate scanner frame position on the patient.
- Created a mathematical model and workflow for autonomous coordinate transformation.
- Implemented a Universal Windows Platform (UWP) application on HoloLens-2.
- Measured Target Registration Error (TRE) using a head phantom.
Main Results:
- Successfully implemented a novel MRN registration method.
- Eliminated the need for user interaction with virtual objects during registration.
- Achieved an average Target Registration Error (TRE) of 3.7 ± 1.7 mm.
Conclusions:
- The proposed laser crosshair simulator method is accurate, efficient, and intuitive.
- This approach represents a significant advancement in low-cost, user-friendly MRN systems.
- The method shows promise for improving surgical outcomes through enhanced accuracy and adaptability.
