A pose‐independent method for accurate and precise body composition from 3D optical scans. Issue 11 (21st September 2021)
- Record Type:
- Journal Article
- Title:
- A pose‐independent method for accurate and precise body composition from 3D optical scans. Issue 11 (21st September 2021)
- Main Title:
- A pose‐independent method for accurate and precise body composition from 3D optical scans
- Authors:
- Wong, Michael C.
Ng, Bennett K.
Tian, Isaac
Sobhiyeh, Sima
Pagano, Ian
Dechenaud, Marcelline
Kennedy, Samantha F.
Liu, Yong E.
Kelly, Nisa N.
Chow, Dominic
Garber, Andrea K.
Maskarinec, Gertraud
Pujades, Sergi
Black, Michael J.
Curless, Brian
Heymsfield, Steven B.
Shepherd, John A. - 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.
- Is Part Of:
- Obesity. Volume 29:Issue 11(2021)
- Journal:
- Obesity
- Issue:
- Volume 29:Issue 11(2021)
- Issue Display:
- Volume 29, Issue 11 (2021)
- Year:
- 2021
- Volume:
- 29
- Issue:
- 11
- Issue Sort Value:
- 2021-0029-0011-0000
- Page Start:
- 1835
- Page End:
- 1847
- Publication Date:
- 2021-09-21
- Subjects:
- Obesity -- Periodicals
616.398005 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1930-739X ↗
http://www.obesityresearch.org ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/oby.23256 ↗
- Languages:
- English
- ISSNs:
- 1930-7381
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6196.929955
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 20281.xml