In Proceedings of International Journal of Computer Assisted Radiology and Surgery
Manual Registration in AR-Assisted Surgical Navigation: A Comparative Evaluation
Purpose: This study evaluates two virtual auxiliary tools, degrees of freedom (DOF) Separation and PinNPivot, to address depth perception limitations and high error rates in manual registration for AR-assisted surgical navigation. Methods: DOF Separation decouples translation and rotation using six independent controls, minimizing cumulative errors. PinNPivot constrains object motion around virtual pins to stabilize rotation. Their effectiveness in AR remains underexplored. Using a hybrid evaluation system (Vuforia and NDI optical tracking), these tools were compared to unassisted manual registration on two patient-specific phantoms, assessing accuracy, task completion time, and NASA-TLX workload scores. Results: PinNPivot balanced efficiency and accuracy but was prone to initial pin placement errors. DOF Separation achieved the highest accuracy but required longer task times due to iterative adjustments. NASA-TLX results showed higher cognitive and physical workload for assisted methods. Conclusion: DOF Separation and PinNPivot improved registration accuracy and efficiency over unassisted manual registration. As software-based tools requiring no additional hardware, they hold promise for enhancing AR-assisted surgical navigation. Future work should validate their clinical applicability in diverse scenarios.
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@inproceedings{bib:tang:2025,
author = { Tang, Jiaqi and Thabit, Abdullah and van Walsum, Theo and Marroquim, Ricardo and Benmahdjoub, Mohamed },
title = { Manual Registration in AR-Assisted Surgical Navigation: A Comparative Evaluation },
booktitle = { In Proceedings of International Journal of Computer Assisted Radiology and Surgery },
year = { 2025 },
doi = { 10.1007/s11548-025-03410-4 },
url = { https://publications.graphics.tudelft.nl/papers/819 },
}