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Marker-less augmented reality based on monocular vision for falx meningioma localization
Zongchao Yi1,2, Zhen Deng1,2, Yuqing Liu2,3
1School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China.
Summary
This study introduces a marker-less augmented reality (AR) neuronavigation system for faster surgical preparation. The system achieves high accuracy in visualizing brain tumors, aiding neurosurgeons.
Area of Science:
- Neurosurgery
- Medical Imaging
- Augmented Reality
Background:
- Existing AR neuronavigation requires markers and tracking devices, increasing preparation time.
- Marker-based systems present challenges in intraoperative workflow efficiency.
Purpose of the Study:
- To develop a marker-less augmented reality (AR) system for fast and accurate intraoperative neuronavigation.
- To reduce the preparatory steps associated with traditional AR neuronavigation systems.
Main Methods:
- A marker-less AR system utilizing head feature tracking via a monocular camera.
- Semi-automatic initialization followed by feature point matching and Perspective-n-Point (PNP) for camera pose estimation.
Main Results:
- Localization error for AR visualization on scalp and falx meningioma was 0.417 ± 0.057 mm and 1.413 ± 0.282 mm, respectively.
- Maximum localization error remained under 2 mm.
- The system demonstrated robustness against occlusions, viewpoint, and scale variations.
Conclusions:
- The developed AR system accurately displays augmented falx meningioma.
- The system provides effective guidance for neurosurgeons in locating brain tumors.
