Smartphone photogrammetry for prosthetics and orthotics: accuracy and reliability across upper-limb, lower-limb, and AFO casts
On casts, smartphone photogrammetry produced accurate and reliable meshes with favorable perceived usability and minimal hardware demands. These findings support its integration into digital workflows in P&O, particularly for scanning rectified positive casts and other stable geometries. Further multi-site evaluations on live limbs should determine acceptable capture-time thresholds and effective stabilization strategies to ensure clinical feasibility in routine practice.
Authors
- Calvin C. Ngan (ORCID: https://orcid.org/0000-0001-8645-9530)
- Vishal Pendse (ORCID: https://orcid.org/0009-0002-1817-2620)
- Jan Andrysek
- Arthur Ellis
Institutions
- University of British Columbia (CA)
- University of Toronto (CA)
- Holland Bloorview Kids Rehabilitation Hospital (CA)
Publication Details
- Journal
- BioMedical Engineering OnLine
- Published
- 2026-01-16
- DOI
- https://doi.org/10.1186/s12938-026-01515-8
- Primary Topic
- Prosthetics and Rehabilitation Robotics
- Type
- article
- Field-Weighted Citation Impact
- 0.00