Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Regional Terms01:12

Regional Terms

9.7K
Regional terms describe anatomy by dividing the body parts into different regions that contain structures involved in contributing similar functions. Using these terms helps increase the accurate description and identification of the particular region of interest or region affected by the disease.
Primarily, the human body has two major regions, the axial and appendicular regions. The axial region comprises regions from the head to the abdomen and makes up the central body axis. In contrast,...
9.7K
Changes in the Appendicular Skeleton with Age01:09

Changes in the Appendicular Skeleton with Age

2.1K
The upper and lower limb initially develops as a small bulge called a limb bud, which appears on the lateral side of the early embryo. The upper limb bud appears near the end of the fourth week of development, with the lower limb bud appearing shortly after.
Initially, the limb buds consist of a core of mesenchyme covered by a layer of ectoderm. The ectoderm at the end of the limb bud thickens to form a narrow crest called the apical ectodermal ridge. This ridge stimulates the underlying...
2.1K
Centroid of a Body01:16

Centroid of a Body

1.1K
The centroid is an important concept in engineering, physics, and mechanics. It is the geometric center of a body. It always lies within the body except in cases with holes or cavities. When the material that a body is composed of is uniform or homogeneous, the centroid coincides with its center of mass or the center of gravity.
For a homogeneous body with constant density, the centroid can usually be found using equations representing a balance of the moments of the body's volume. If the...
1.1K
Body Water Content and Fluid Compartments01:19

Body Water Content and Fluid Compartments

831
Life's biochemical processes occur within aqueous solutions. Solutes are substances that are dissolved within these solutions. The human body contains a variety of solutes, which can differ across various body parts. These can encompass proteins—such as those responsible for clotting and carbohydrate transport—as well as electrolytes. In medicine, an electrolyte is often described as a mineral ion derived from a salt possessing an electric charge. Examples include sodium ions...
831
Axial and Appendicular Muscles01:18

Axial and Appendicular Muscles

1.5K
Skeletal muscles, the key players in our body's movement, can be classified into two groups based on their location and function: axial muscles and appendicular muscles. These classifications reflect the primary roles the muscles play in the body's structure and movement.
Axial Muscles
Axial muscles, situated along the body's midline, are intricately connected to the axial skeleton, which includes the skull, spine, ribs, and sternum. These muscles facilitate facial expressions and...
1.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Weighted single-step GWAS identified candidate genes associated with semen traits in Rhode Island Red chickens.

Poultry science·2026
Same author

BodyMAE: A Surface-Area Aware Masked Autoencoder for Body Composition Estimation from 3D Body Scans.

medRxiv : the preprint server for health sciences·2026
Same author

A macrophage-targeted bivalent saRNA vaccine protects against ocular and cutaneous HSV-1 infection in mice.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

TaWRKY33 Positively Regulates TaERF1-A, Thereby Activating TaP5CS<sub>2</sub> <sup>-</sup>Mediated Proline Biosynthesis, Which Enhances Drought Tolerance in Wheat (Triticum aestivum L.).

Plant, cell & environment·2026
Same author

Integration of Metal-Organic Framework With Polymer Electrolyte Enables Efficient and Robust Organic Solar Cells.

Angewandte Chemie (International ed. in English)·2026
Same author

Synthesis of 2-(α-trifluoromethylamino)indoles <i>via</i> stepwise cascade transformation of imidoyl sulfoxonium ylides with <i>ortho</i>-chloromethyl anilines.

RSC advances·2026
Same journal

AVA: Automated Viewability Analysis for Ureteroscopic Intrarenal Surgery.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Kidney Endoscopy Video to Preoperative CT Alignment for Depth Estimation.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Deep learning‑based cell type prediction in lung tissue from brightfield histology using CODEX-derived labels.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Reconstructing physiological signals from fMRI across the adult lifespan.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Axially Swept Light-Sheet Microscopy using scattering and fluorescence contrast mechanisms.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Analytic Bounds on GAMLSS Model Variability of Normative White Matter Brain Charts.

Proceedings of SPIE--the International Society for Optical Engineering·2026
See all related articles

Related Experiment Video

Updated: Jul 23, 2025

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
06:48

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research

Published on: June 7, 2024

1.3K

3D Body shape for regional and appendicular body composition estimation.

Yijiang Zheng1, Zhuoxin Long2, Xiaoke Zhang2

  • 1Dept. of Computer Science, The George Washington University, 800 22 St NW, Washington, DC, USA 20052.

Proceedings of Spie--The International Society for Optical Engineering
|July 17, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method using 3D body shape to predict body composition, including lean mass and appendicular skeletal muscle mass (ASMM). This approach offers a more accessible and accurate alternative to current body composition assessment techniques.

Keywords:
3D Body ShapeBody CompositionDXAMachine LearningMedical imagingRegression

More Related Videos

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

10.6K
Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography
07:33

Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography

Published on: November 8, 2024

471

Related Experiment Videos

Last Updated: Jul 23, 2025

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
06:48

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research

Published on: June 7, 2024

1.3K
Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

10.6K
Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography
07:33

Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography

Published on: November 8, 2024

471

Area of Science:

  • Biomedical Engineering
  • Anthropometry
  • Radiological Sciences

Background:

  • Body composition is crucial for assessing bone mineral density, muscle strength, and physical performance, impacting diagnoses like sarcopenia.
  • Current body composition measurement methods are often inaccurate or rely on expensive equipment like Dual-energy X-ray absorptiometry (DXA).
  • DXA measures lean mass, not muscle mass, with extremity lean mass previously used as an approximation for appendicular skeletal muscle mass (ASMM).

Purpose of the Study:

  • To develop a novel shape descriptor for predicting regional body composition, specifically lean mass, from 3D body shapes.
  • To propose a neural network model for assessing ASMM using lean mass predictions.
  • To evaluate the effectiveness of these methods against traditional anthropometric measurements and regression models.

Main Methods:

  • Development of a new shape descriptor to analyze 3D body shapes for compositional prediction.
  • Implementation of a neural network model integrating shape and demographic features for ASMM assessment.
  • Evaluation using Adjusted R-Squared values and Root Mean Square Error (RMSE) for model performance comparison.

Main Results:

  • Regression models using level circumference as a feature outperformed regional anthropometric measurements, reducing average RMSE by approximately 21%.
  • The proposed neural network for ASMM assessment achieved the lowest RMSE at 1.85 kg, outperforming traditional regression models.
  • The neural network approach improved RMSE by 17% compared to a standard linear regression model.

Conclusions:

  • 3D body shape analysis shows significant potential for predicting whole-body and regional lean mass.
  • The developed methods offer a promising, potentially more accessible, alternative for body composition assessment.
  • The study highlights the utility of 3D shape descriptors and neural networks in estimating ASMM and regional lean mass.