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The Feasibility and Accuracy of Holographic Navigation with Laser Crosshair Simulator Registration on a Mixed-Reality Display.
Qi et al., Sensors (Basel) 2024
<!– DOI: 10.3390/s24030896 //–>
https://doi.org/10.3390/s24030896
This study introduces a novel, cost-effective mixed reality navigation (MRN) system utilizing a laser crosshair simulator (LCS) for neurosurgical planning, addressing the high costs and complexity of conventional systems. The system, integrated with Microsoft’s HoloLens-2, employs an innovative automatic registration method with coplanar laser emitters and a recognizable target pattern. Its accuracy and feasibility were tested on life-sized 3D-printed head phantoms derived from CT or MRI scans of 19 patients, using landmark-based and lesion-based analyses. The results showed a target registration error (TRE) of 3.0 ± 0.5 mm and a Dice similarity coefficient (DSC) of 0.83 ± 0.12, indicating high precision and reliability. The DSC also significantly correlated with lesion volume, suggesting the system’s effectiveness varies with lesion size. This LCS-MRN system represents a significant advancement in neurosurgical navigation, offering a low-cost, accurate, and user-friendly alternative with potential for further clinical application improvements.