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Active Parallax-Effect Compensation for Augmented Reality-Assisted Surgery: Feasibility and Performance
IEEE Transactions on Visualization and Computer Graphics
|July 22, 2026
Summary
This study introduces an Active Parallax-effect Compensation (APC) framework to significantly improve augmented reality (AR) projection accuracy in surgery. The novel method reduces AR errors by over 70%, enhancing surgical navigation reliability.
Area of Science:
- Medical Imaging
- Computer-Assisted Surgery
- Augmented Reality Visualization
Background:
- Augmented Reality (AR) shows promise for computer-assisted surgery.
- Clinical use is hindered by parallax-effect inaccuracies at short distances.
- Accurate AR visualization is crucial for surgical navigation.
Purpose of the Study:
- To develop a user-specific calibration technique for dynamic AR projection error correction.
- To reduce parallax-induced perceptual distortions in real-time.
- To enhance the accuracy and clinical viability of AR guidance systems.
Main Methods:
- Designed a decentralized architecture for spatial computations.
- Developed the Active Parallax-effect Compensation (APC) framework.
- Validated the APC framework using ASTM and patient-specific spine models.
Main Results:
- APC OFF: Projection errors were 8.50 ± 2.98 mm (close) and 6.26 ± 2.54 mm (far).
- APC ON: Errors significantly reduced to 2.10 ± 1.35 mm (close) and 1.72 ± 1.27 mm (far).
- Achieved error reductions of 75.2% and 72.5%, with statistical margins below 0.7 mm.
Conclusions:
- The APC framework substantially reduces AR projection error caused by parallax.
- This improves projection accuracy for AR-assisted surgery.
- Demonstrates a scalable approach for reliable AR guidance in surgical navigation.
