A Pose Independent Method for Accurate and Precise Body Composition from 3D Optical Scans

Details

• Alternative Title:
  Obesity (Silver Spring)
• Personal Author:
  Wong, Michael C ; Ng, Bennett K ; Tian, Isaac ; Sobhiyeh, Sima ; Pagano, Ian ; Dechenaud, Marcelline ; Kennedy, Samantha F ; Liu, Yong E ; Kelly, Nisa ; Chow, Dominic ; Garber, Andrea K ; Maskarinec, Gertraud ; Pujades, Sergi ; Black, Michael J ; Curless, Brian ; Heymsfield, Steven B ; Shepherd, John A
  More +
• Description:
  Objective: ; To investigate if digitally reposing three-dimensional optical (3DO) whole-body scans to a standardized pose would improve body composition accuracy and precision regardless of 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). 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 reposing, three PCs described 95% of the shape variance in the male and female training sets. 3DO body composition accuracy compared to DXA was: 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: ; Reposed 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.
• Subjects:
  • Absorptiometry, Photon
  • Adipose Tissue
  • Adult
  • Anthropometry
  • Body Composition
  • Female
  • Humans
  • Linear Models
  • Male
  • Whole Body Imaging
• Keywords:
  • Imaging
  • Principal Component Analysis
  • Body Composition
  • Dual Energy X-ray Absorptiometry
  • Obesity
  • Metabolic Disease
  • 3D scanning
  • Body Shape
  • Alzheimer's disease
  • Alzheimer's disease sequencing project
  More +
• Source:
  Obesity (Silver Spring). 29(11):1835-1847
• Pubmed ID:
  34549543
• Pubmed Central ID:
  PMC8570991
• Document Type:
  Journal Article
• Funding:
  R01 DK109008/DK/NIDDK NIH HHSUnited States/ ; R01 DK111698/DK/NIDDK NIH HHSUnited States/ ; U01 IP000017/IP/NCIRD CDC HHSUnited States/
• Volume:
  29
• Issue:
  11
• Download URL:
  https://stacks.cdc.gov/view/cdc/111469/cdc_111469_DS1.pdf
• File Type:
  [PDF - 659.18 KB]
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha-512:0233e78f1c5e12b111a24f14f4897e50ae813626571082f4c63a51cf020eee06db81d3bcff4b63997c4780cb9b532f00ae8ba968ac35407d1b7c7e3c30089c07