Manual Registration in AR-Assisted Surgical Navigation: A Comparative Evaluation
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.
Authors
- Abdullah Thabit (ORCID: https://orcid.org/0000-0002-0505-2198)
- Theo van Walsum (ORCID: https://orcid.org/0000-0001-8257-7759)
- Mohamed Benmahdjoub (ORCID: https://orcid.org/0000-0003-1830-2480)
- Ricardo Marroquim (ORCID: https://orcid.org/0000-0001-8299-7067)
- J. Tang (ORCID: https://orcid.org/0009-0008-7498-5363)
Institutions
- Erasmus MC (NL)
- Erasmus University Rotterdam (NL)
- Delft University of Technology (NL)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2025-06-25
- DOI
- https://doi.org/10.1007/s11548-025-03410-4
- Primary Topic
- Augmented Reality Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00