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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

376
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
376

You might also read

Related Articles

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

Sort by
Same author

Callus formation during healing is guided by local strain: a retrospective clinical observation.

BMC musculoskeletal disorders·2026
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

Uncertainty estimation and probabilistic skull shape reconstruction using bayesian neural networks.

Scientific reports·2026
Same author

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

Bioengineering (Basel, Switzerland)·2026
Same author

Whole-body vibration decreases pain and cartilage degeneration in male and female mice with osteoarthritis.

Pain reports·2026
Same journal

Cross-sectional blood vessel area differences in various causes of death in unenhanced forensic post-mortem computed tomography.

International journal of legal medicine·2026
Same journal

Diagnostic performance of Demirjian's third molar maturation stages G, G1, and H for identifying the 18-year age threshold: a sex-specific study.

International journal of legal medicine·2026
Same journal

Environmental DNA (eDNA) from humans: Review of recent advancements and forensic implications.

International journal of legal medicine·2026
Same journal

Joint editorial: shared deliberations of the editors-in-chief of three forensic journals regarding ethical issues in forensic publishing.

International journal of legal medicine·2026
Same journal

Dental age assessment: orthopantomogram-based comparison of traditional methods and artificial intelligence in the adult population.

International journal of legal medicine·2026
Same journal

Sex estimation from morphometry of lumbar vertebrae (L4-L5): A machine learning approach.

International journal of legal medicine·2026
See all related articles

Related Experiment Video

Updated: Mar 8, 2026

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics
10:23

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Published on: December 1, 2023

1.1K

Automatic CT-based finite element model generation for temperature-based death time estimation: feasibility study and

Sebastian Schenkl1, Holger Muggenthaler1, Michael Hubig2

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

International Journal of Legal Medicine
|January 17, 2017
PubMed
Summary
This summary is machine-generated.

This study presents a semi-automatic workflow for estimating time of death using finite element (FE) cooling simulations derived from CT scans. The method enhances accuracy by modeling corpse cooling more comprehensively.

Keywords:
Cooling experimentsFinite element methodSemi-automatic CT segmentation and FE model generationSensitivity analysisTemperature-based death time estimationValidation

More Related Videos

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment
04:35

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment

Published on: July 5, 2024

2.5K
Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

2.0K

Related Experiment Videos

Last Updated: Mar 8, 2026

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics
10:23

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Published on: December 1, 2023

1.1K
Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment
04:35

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment

Published on: July 5, 2024

2.5K
Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

2.0K

Area of Science:

  • Forensic Science
  • Biophysics
  • Medical Imaging

Background:

  • Temperature-based death time estimation relies on phenomenological or detailed physical heat transfer models.
  • Detailed physical models offer higher accuracy by accounting for all relevant cooling mechanisms.
  • Existing methods often lack a streamlined workflow from imaging to simulation.

Purpose of the Study:

  • To present a complete workflow for finite element (FE)-based corpse cooling simulation.
  • To semi-automatically generate FE models from CT scans for improved death time estimation.
  • To validate the FE cooling simulation method using a CT phantom.

Main Methods:

  • Demonstrated a workflow on a CT phantom: CT scan, segmentation, CAD model compilation, FE model generation.
  • Computed the model cooling curve (MOD) and cooling time (CTE) using the FE simulation.
  • Performed independent experiments to determine thermodynamic material parameters and conducted a sensitivity analysis.

Main Results:

  • Successfully generated FE models from CT images semi-automatically.
  • Validated the cooling time calculation results against controlled phantom cooling measurements.
  • Investigated the impact of geometric and material parameter uncertainties on cooling time estimation.

Conclusions:

  • The presented FE-based workflow enables more accurate and streamlined death time estimation.
  • Semi-automatic model generation from CT scans is feasible and effective.
  • Sensitivity analysis highlights the importance of accurate material properties for reliable results.