A pose‐independent method for accurate and precise body composition from 3D optical scans
M. C. Wong, Bennett K. Ng, Isaac Y. Tian, Sima Sobhiyeh, Ian Pagano, Marcelline Dechenaud, Samantha Kennedy, Yong E. Liu, Nisa N. Kelly, Dominic C. Chow, Andrea K. Garber, Gertraud Maskarinec, Sergi Pujades, Michael J. Black, Brian Curless, Steven B. Heymsfield, John Shepherd
Abstract
Abstract Objective The aim of this study was to investigate whether digitally re‐posing three‐dimensional optical (3DO) whole‐body scans to a standardized pose would improve body composition accuracy and precision regardless of the initial pose. Methods Healthy adults ( n = 540), stratified by sex, BMI, and age, completed whole‐body 3DO and dual‐energy X‐ray absorptiometry (DXA) scans in the Shape Up! Adults study. The 3DO mesh vertices were represented with standardized templates and a low‐dimensional space by principal component analysis (stratified by sex). The total sample was split into a training (80%) and test (20%) set for both males and females. Stepwise linear regression was used to build prediction models for body composition and anthropometry outputs using 3DO principal components (PCs). Results The analysis included 472 participants after exclusions. After re‐posing, three PCs described 95% of the shape variance in the male and female training sets. 3DO body composition accuracy compared with DXA was as follows: fat mass R 2 = 0.91 male, 0.94 female; fat‐free mass R 2 = 0.95 male, 0.92 female; visceral fat mass R 2 = 0.77 male, 0.79 female. Conclusions Re‐posed 3DO body shape PCs produced more accurate and precise body composition models that may be used in clinical or nonclinical settings when DXA is unavailable or when frequent ionizing radiation exposure is unwanted.