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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smartphone photogrammetry for prosthetics and orthotics: accuracy and reliability across upper-limb, lower-limb, and AFO casts

Calvin C. Ngan, Vishal Pendse, Jan Andrysek, Arthur Ellis
BioMedical Engineering OnLine
Prosthetics and Rehabilitation Robotics
article

Smartphone photogrammetry for prosthetics and orthotics: accuracy and reliability across upper-limb, lower-limb, and AFO casts

Calvin C. Ngan, Vishal Pendse, Jan Andrysek, Arthur Ellis
article en

Abstract

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.

BioMedical Engineering OnLineVol. 25(1)
University of British Columbia (CA), University of Toronto (CA), Holland Bloorview Kids Rehabilitation Hospital (CA)
Industry, innovation and infrastructure
Openalex Percentile: Top 87%
Prosthetics and Rehabilitation Robotics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Smartphone photogrammetry for prosthetics and orthotics: accuracy and reliability across upper-limb, lower-limb, and AFO casts — Calvin C. Ngan, Vishal Pendse, et al. · BioMedical Engineering OnLine (2026) | TGRS Research Map | TGRS