Graduate Program in Human Nutrition, University of Hawai'i Manoa, Honolulu, Hawaii, USA.
Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA.
Obesity (Silver Spring). 2021 Nov;29(11):1835-1847. doi: 10.1002/oby.23256. Epub 2021 Sep 21.
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.
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).
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 = 0.91 male, 0.94 female; fat-free mass R = 0.95 male, 0.92 female; visceral fat mass R = 0.77 male, 0.79 female.
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.
本研究旨在探究对三维光学（3DO）全身扫描进行数字化重定位以达到标准化姿势是否能够提高体成分的准确性和精密度，而不受初始姿势的影响。
Shape Up!成年人研究中，按性别、BMI 和年龄分层，对 540 名健康成年人进行了全身 3DO 和双能 X 射线吸收法（DXA）扫描。使用主成分分析（按性别分层），用标准化模板和低维空间表示 3DO 网格顶点。总样本分为训练集（80%）和测试集（20%），男女各一组。使用 3DO 主成分（PCs）对体成分和人体测量学输出进行逐步线性回归，以构建预测模型。
排除后，分析共纳入 472 名参与者。重定位后，3 个 PC 描述了男性和女性训练集形状变异的 95%。3DO 体成分与 DXA 的准确性比较如下：男性脂肪量 R = 0.91，无脂肪量 R = 0.95；女性脂肪量 R = 0.94，无脂肪量 R = 0.92；男性内脏脂肪量 R = 0.77，女性内脏脂肪量 R = 0.79。
重定位的 3DO 体型 PC 生成了更准确和更精确的体成分模型，当 DXA 不可用时，或者当不希望频繁接受电离辐射时，这些模型可能在临床或非临床环境中使用。
