A pose-independent method for accurate and precise body composition from 3D optical scans
2021
Article
ps
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 R2 = 0.91 male, 0.94 female; fat-free mass R2 = 0.95 male, 0.92 female; visceral fat mass R2 = 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.
| Author(s): | Michael C. Wong and Bennett K. Ng and Isaac Tian and Sima Sobhiyeh and Ian Pagano and Marcelline Dechenaud and Samantha F. Kennedy and Yong E. Liu and Nisa Kelly and Dominic Chow and Andrea K. Garber and Gertraud Maskarinec and Sergi Pujades and Michael J. Black and Brian Curless and Steven B. Heymsfield and John A. Shepherd |
| Journal: | Obesity |
| Volume: | 29 |
| Number (issue): | 11 |
| Pages: | 1835--1847 |
| Year: | 2021 |
| Month: | November |
| Publisher: | Wiley |
| Department(s): | Perceiving Systems |
| Research Project(s): |
Bodies in Medicine
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| Bibtex Type: | Article (article) |
| Paper Type: | Journal |
| DOI: | 10.1002/oby.23256 |
| State: | Published |
| Links: |
Wiley online adress
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| Attachments: | |
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BibTex @article{tpose_obesity_21,
title = {A pose-independent method for accurate and precise body composition from 3D optical scans},
author = {Wong, Michael C. and Ng, Bennett K. and Tian, Isaac and Sobhiyeh, Sima and Pagano, Ian and Dechenaud, Marcelline and Kennedy, Samantha F. and Liu, Yong E. and Kelly, Nisa and Chow, Dominic and Garber, Andrea K. and Maskarinec, Gertraud and Pujades, Sergi and Black, Michael J. and Curless, Brian and Heymsfield, Steven B. and Shepherd, John A.},
journal = {Obesity},
volume = {29},
number = {11},
pages = {1835--1847},
publisher = {Wiley},
month = nov,
year = {2021},
doi = {10.1002/oby.23256},
month_numeric = {11}
}
|
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