ArticleMedical physics2015
Accurate body composition measures from whole-body silhouettes.
Article in Medical physics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Maternal and fetal health status assessment by using machine learning on optical 3D body scans.Medical & biological engineering & computing · 2026Article
- Prediction of total and regional body composition from 3D body shape.NPJ digital medicine · 2024Article
- Silhouette images enable estimation of body fat distribution and associated cardiometabolic risk.NPJ digital medicine · 2022Article
- Pixel-wise body composition prediction with a multi-task conditional generative adversarial network.Journal of biomedical informatics · 2021Article
- Dual-energy X-ray absorptiometry bone densitometry in pediatrics: a practical review and update.Pediatric radiology · 2021Review
- Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review.Frontiers in psychology · 2021Review
- Optical imaging technology for body size and shape analysis: evaluation of a system designed for personal use.European journal of clinical nutrition · 2020Article
- 3D Shape-Based Body Composition Inference Model Using a Bayesian Network.IEEE journal of biomedical and health informatics · 2020Article
- Clinically applicable optical imaging technology for body size and shape analysis: comparison of systems differing in design.European journal of clinical nutrition · 2017Article
- A Smartphone Application for Personal Assessments of Body Composition and Phenotyping.Sensors (Basel, Switzerland) · 2016Article
- Measuring body composition in low-resource settings across the life course.Obesity (Silver Spring, Md.) · 2016Article
- Emerging Technologies and their Applications in Lipid Compartment Measurement.Trends in endocrinology and metabolism: TEM · 2015Review
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
purposeObesity and its consequences, such as diabetes, are global health issues that burden about 171 × 10(6) adult individuals worldwide. Fat mass index (FMI, kg/m(2)), fat-free mass index (FFMI, kg/m(2)), and percent fat mass may be useful to evaluate under- and overnutrition and muscle development in a clinical or research environment. This proof-of-concept study tested whether frontal whole-body silhouettes could be used to accurately measure body composition parameters using active shape modeling (ASM) techniques.
methodsBinary shape images (silhouettes) were generated from the skin outline of dual-energy x-ray absorptiometry (DXA) whole-body scans of 200 healthy children of ages from 6 to 16 yr. The silhouette shape variation from the average was described using an ASM, which computed principal components for unique modes of shape. Predictive models were derived from the modes for FMI, FFMI, and percent fat using stepwise linear regression. The models were compared to simple models using demographics alone [age, sex, height, weight, and body mass index z-scores (BMIZ)].
resultsThe authors found that 95% of the shape variation of the sampled population could be explained using 26 modes. In most cases, the body composition variables could be predicted similarly between demographics-only and shape-only models. However, the combination of shape with demographics improved all estimates of boys and girls compared to the demographics-only model. The best prediction models for FMI, FFMI, and percent fat agreed with the actual measures with R(2) adj. (the coefficient of determination adjusted for the number of parameters used in the model equation) values of 0.86, 0.95, and 0.75 for boys and 0.90, 0.89, and 0.69 for girls, respectively.
conclusionsWhole-body silhouettes in children may be useful to derive estimates of body composition including FMI, FFMI, and percent fat. These results support the feasibility of measuring body composition variables from simple cameras such as those found in cell phones.
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