Knee arthroscopic navigation using virtual-vision rendering and self-positioning technology

Purpose Knee arthroscopy suffers from a lack of depth information and easy occlusion of the visual field. To solve these limitations, we propose an arthroscopic navigation system based on self-positioning technology, with the guidance of virtual-vision views. This system can work without any externa...

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Bibliographic Details
Published in:International journal for computer assisted radiology and surgery 2020-03, Vol.15 (3), p.467-477
Main Authors: Ma, Cong, Cui, Xiwen, Chen, Fang, Ma, Longfei, Xin, Shenghai, Liao, Hongen
Format: Article
Language:English
Subjects:
Arthroscopy - methods
Computer Imaging
Computer Science
Computer simulation
Health Informatics
Humans
Imaging
Knee
Knee Joint - diagnostic imaging
Knee Joint - surgery
Medicine
Medicine & Public Health
Navigation systems
Occlusion
Optical tracking
Original Article
Pattern Recognition and Graphics
Phantoms, Imaging
Posture
Radiology
Rendering
Robustness
Rotation
Surgeons
Surgery
Surgery, Computer-Assisted
Tracking devices
Tracking systems
Virtual cameras
Vision
Visual fields
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Summary:Purpose Knee arthroscopy suffers from a lack of depth information and easy occlusion of the visual field. To solve these limitations, we propose an arthroscopic navigation system based on self-positioning technology, with the guidance of virtual-vision views. This system can work without any external tracking devices or added markers, thus increasing the working range and improving the robustness of the rotating operation. Methods The fly-through view and global positioning view for surgical guidance are rendered through virtual-vision rendering in real time. The fly-through view provides surgeons with navigating the arthroscope in the internal anatomical structures using a virtual camera perspective. The global positioning view shows the posture of the arthroscope relative to the preoperative model in a transparent manner. The posture of the arthroscope is estimated from the fusion of visual and inertial data based on the visual–inertial stereo slam. A flexible calibration method that transforms the posture of the arthroscope in the physical world into the virtual-vision rendering framework is proposed for the arthroscopic navigation system with self-positioning information. Results Quantitative experiments for evaluating self-positioning accuracy were performed. For translation, the acquired mean error was 0.41 ± 0.28 mm; for rotation, it was 0.11° ± 0.07°. The tracking range of the proposed system was approximately 1.4 times that of the traditional external optical tracking system for the rotating operation. Simulated surgical operations were performed on the phantom. The fly-through and global positing views were paired with original arthroscopic images for intuitive surgical guidance. Conclusion The proposed system provides surgeons with both fly-through and global positioning views without a dependence on the traditional external tracking systems for surgical guidance. The feasibility and robustness of the system are evaluated, and it shows promise for medical applications.
ISSN:1861-6410
1861-6429
DOI:10.1007/s11548-019-02099-6