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

Computed Tomography01:10

Computed Tomography

8.0K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
8.0K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

281
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
281
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

785
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
785

You might also read

Related Articles

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

Sort by
Same author

Automatic Personal Identification Using a Single MRI Slice.

Bioengineering (Basel, Switzerland)·2026
Same author

AI-Based Angle Map Analysis of Facial Asymmetry in Peripheral Facial Palsy.

Bioengineering (Basel, Switzerland)·2026
Same author

Reconstructing sudden ambient temperature changes for forensic death time estimation using temperatures in two closed compartments: proof of concept.

International journal of legal medicine·2026
Same author

A Review on Automatic Personal Identification Using Panoramic Radiographs and Computed Tomography.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin·2026
Same author

Personal identification via matching of curved multiplanar computed tomography reconstructions and panoramic radiographs.

PloS one·2025
Same author

Monolithically-Integrated van der Waals Synaptic Memory via Bulk Nano-Crystallization.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same journal

MT-MRI for detection of renal interstitial fibrosis in renovascular disease.

Scientific reports·2026
Same journal

Detection of underground objects from GPR data using a lightweight YOLO-based approach.

Scientific reports·2026
Same journal

Early systemic inflammatory-metabolic trajectory phenotypes are associated with survival outcomes in metastatic renal cell carcinoma treated with nivolumab.

Scientific reports·2026
Same journal

Water balance components in a dry-seeded rice-wheat system: Untangling the effects of tillage and mulching practices.

Scientific reports·2026
Same journal

Topological approaches to quantum tensor train compression via ZX-calculus and SVD.

Scientific reports·2026
Same journal

determinants of flood impacts and adaptive capacity among market vendors in Walukuba-Masese, Jinja city, Uganda.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Jan 15, 2026

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

823

Automated body weight measurement using computed tomography.

Sebastian Schenkl1, Holger Muggenthaler1, Rahel Koch2

  • 1Institute of Forensic Medicine, Jena University Hospital - Friedrich Schiller University, Am Klinikum 1, 07747, Jena, Germany.

Scientific Reports
|October 15, 2025
PubMed
Summary
This summary is machine-generated.

Computed tomography (CT) scans can accurately estimate body weight using an automated method. This technique is valuable in forensic and emergency situations when direct weighing is not possible.

Keywords:
Body compositionBody weights and measuresComputed tomographyComputer-assisted image processingForensic medicine

More Related Videos

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

2.1K
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

11.6K

Related Experiment Videos

Last Updated: Jan 15, 2026

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

823
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

2.1K
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

11.6K

Area of Science:

  • Medical Imaging
  • Forensic Science
  • Biomedical Engineering

Background:

  • Computed tomography (CT) provides detailed tissue composition and density data.
  • Body weight estimation via CT is crucial in emergency and forensic settings where traditional weighing is impractical.
  • Existing methods for weight estimation from CT scans are limited.

Purpose of the Study:

  • To evaluate an automated method for body weight estimation using antemortem and postmortem CT scans.
  • To assess the accuracy of CT-derived weight estimation in forensic and clinical populations.
  • To explore the potential of CT scans for non-invasive body weight and composition analysis.

Main Methods:

  • Retrospective analysis of 30 forensic postmortem and 66 clinical torso CT scans.
  • Automated tissue segmentation using Hounsfield Unit thresholds for fat, muscle, and bone.
  • Calculation of weight by multiplying voxel volumes by tissue densities, with extrapolation for clinical cases.

Main Results:

  • Forensic CT-derived weights showed a mean difference of -1.26 ± 2.58 kg compared to measured weights.
  • Clinical CT-derived weights, extrapolated to total body weight, had an average difference of 0.53 ± 4.62 kg.
  • Strong linear correlations (R² = 0.97/0.96) were observed between CT-derived and measured weights in both cohorts.

Conclusions:

  • Routinely acquired CT scans enable accurate, automated, and retrospective body weight estimation.
  • This non-invasive method offers a viable alternative when direct weight measurement is infeasible.
  • CT-based analysis allows for simultaneous body composition assessment alongside weight estimation.