Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

[Therapy-refractory hepatic encephalopathy or acquired hepato-cerebral degeneration - a challenging differential diagnosis].

Zeitschrift fur Gastroenterologie·2026

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

Expression of Human CEACAM Receptors Promotes Inflammation and Organ Damage During Systemic <i>Candida albicans</i> Infection in Mice.

Cells·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

Zeitschrift fur Rheumatologie·2026

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

Search research articles

Related Experiment Video

Updated: Aug 20, 2025

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

Published on: February 18, 2015

Quality measures for fully automatic CT histogram-based fat estimation on a corpse sample.

Sebastian Schenkl¹, Michael Hubig², Holger Muggenthaler¹

¹Institute of Legal Medicine, Jena University Hospital, 07749, Jena, Germany.

Scientific Reports

|November 23, 2022

Summary

This summary is machine-generated.

The CT histogram based Fat Estimation and quasi-Segmentation (CFES) algorithm shows promising results in differentiating fat from muscle in human corpses. Unexpected relationships between performance measures were observed, potentially linked to fitting normal mixture distributions.

More Related Videos

Segmentation and Measurement of Fat Volumes in Murine Obesity Models Using X-ray Computed Tomography

Segmentation and Measurement of Fat Volumes in Murine Obesity Models Using X-ray Computed Tomography

Published on: April 4, 2012

Whole Body and Regional Quantification of Active Human Brown Adipose Tissue Using 18F-FDG PET/CT

Whole Body and Regional Quantification of Active Human Brown Adipose Tissue Using 18F-FDG PET/CT

Published on: April 1, 2019

Related Experiment Videos

Last Updated: Aug 20, 2025

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

Published on: February 18, 2015

Segmentation and Measurement of Fat Volumes in Murine Obesity Models Using X-ray Computed Tomography

Segmentation and Measurement of Fat Volumes in Murine Obesity Models Using X-ray Computed Tomography

Published on: April 4, 2012

Whole Body and Regional Quantification of Active Human Brown Adipose Tissue Using 18F-FDG PET/CT

Whole Body and Regional Quantification of Active Human Brown Adipose Tissue Using 18F-FDG PET/CT

Published on: April 1, 2019

Area of Science:

Forensic Science
Medical Imaging
Computational Biology

Background:

Accurate fat-muscle differentiation is crucial for forensic applications, such as postmortem interval estimation using finite element modeling.
Previous validation of the CT histogram based Fat Estimation and quasi-Segmentation (CFES) algorithm was performed on synthetic data, phantoms, and a single corpse.
The long-term goal is to utilize CFES-derived data for temperature-based death time estimation.

Purpose of the Study:

To evaluate the performance of the CFES algorithm on a larger human corpse sample (R=32).
To assess three key performance metrics: τ-value (fat-muscle differentiation), D (misclassification rate), and S (grey-scale histogram distance).
To investigate the relationships between these performance metrics and understand unexpected findings.

Main Methods:

Application of the CFES algorithm to a sample of 32 human corpses.
Evaluation of performance using the τ-value, misclassification rate (D), and weighted distance (S).
Analysis of results based on varying weight exponent (α) values and Monte Carlo simulations.

Main Results:

CFES achieved a misclassification rate (D) of 3.6% for α=1, with higher rates for α≥2 and much higher for α≤0.
An inverse relationship was observed between τ and D (higher τ implies lower D).
Counter-intuitive findings included a positive linear relationship between τ and S, and a falling D with rising S, explained by Monte Carlo analysis revealing an 'umbrella' relationship between τ and S due to normal mixture distribution fitting issues.

Conclusions:

The CFES algorithm demonstrates effectiveness in fat-muscle differentiation in human postmortem CT scans.
Unexpected correlations between performance metrics (τ, S, D) were identified and analyzed, highlighting challenges in distribution fitting.
Further research is warranted to refine the algorithm and confirm its utility in forensic temperature-based death time estimation.