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Body Composition

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Year
2024
Institution
Department of Surgical Sciences, University of Turin
Pennington Biomedical Research Centre
Topic
Body Composition

Objective

The study highlights digital anthropometric systems providing quick, accurate body size and composition assessments through automated 3D avatars and reports. One system includes a rotating platform with cameras and a tablet, while the other uses a tablet on a stationary holder. These user-friendly tools are ideal for clinical and athletic applications, supporting personalized training and rehabilitation strategies.

Implications

The procedures presented in this article can be used to evaluate body size, shape, and composition through two commercially available solutions for 3D optical imaging that have been previously developed and validated. These solutions are simple to operate, and valid data can be quickly collected and automatically organized into a report.

Key takeaway

3D optical imaging has crossed the threshold from research tool to clinical-ready solution, capable of replacing slower, more invasive assessments with a single automated scan that generates dozens of validated body composition metrics in minutes. Size Stream’s systems, both booth and portable mobile, enable the kind of reproducible longitudinal monitoring that unlocks real clinical value: tracking fat versus lean mass, muscle symmetry recovery, and early disease markers over time. The portability of the mobile system further extends this capability beyond the clinic, bringing specialist-level measurement to remote and underserved settings.

CitationsMarco A. Minetto, Chiara Busso, Andrea Ferraris, Angelo Pietrobelli, John A. Shepherd, Cassidy McCarthy, Steven B. Heymsfield (2024). Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging.
Read the full paper Opens on JoVE — external site, new tab JoVE ↗

Paper summary

Topic
Body Composition
Authors
Marco A. Minetto, Chiara Busso, Andrea Ferraris, Angelo Pietrobelli, John A. Shepher, Cassidy McCarthy, Steven B. Heymsfield
Published
2024
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