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

Energies of different assault tools in blunt force trauma.

Forensic science international·2026

Same author

Asynchronous calibration of a CT scanner for bone mineral density estimation: sources of error and correction.

JBMR plus·2024

Same author

New alginate-gelatine method for casting of staining inside firearm barrels.

International journal of legal medicine·2024

Same author

First-in-human validation of a DROP-IN β-probe for robotic radioguided surgery: defining optimal signal-to-background discrimination algorithm.

European journal of nuclear medicine and molecular imaging·2024

Same author

3D printed splint designed by 3D surface scanner for patients with hand allodynia.

Hand surgery & rehabilitation·2024

Same author

Cat and dog scavenging at indoor forensic scenes: strategies for documentation and detection.

Forensic science, medicine, and pathology·2023

Search research articles

Related Experiment Video

Updated: Jan 3, 2026

Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal Phase of 5km Treadmill Running

Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal Phase of 5km Treadmill Running

Published on: July 17, 2020

What happened before the run over? Morphometric 3D reconstruction.

Ursula Buck¹, Kirsten Buße², Lorenzo Campana³

¹Institute of Forensic Medicine, University of Bern, Buehlstrasse 20, 3012, Bern, Switzerland; Cantonal Police Bern, Accident Service, Schermenweg 9, 3001, Bern, Switzerland.

Forensic Science International

|November 30, 2019

Summary

Morphometric 3D reconstruction enhances the analysis of run-over traffic accidents. This technique aids forensic pathologists in determining injury origins and reconstructing incidents for improved understanding.

Keywords:

3D documentation 3D reconstruction Forensic sciences Run-over accident Surface scanning

More Related Videos

Three-Dimensional Reconstruction of Orbital Fractures

Three-Dimensional Reconstruction of Orbital Fractures

Published on: May 16, 2025

A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact

A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact

Published on: September 21, 2017

Related Experiment Videos

Last Updated: Jan 3, 2026

Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal Phase of 5km Treadmill Running

Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal Phase of 5km Treadmill Running

Published on: July 17, 2020

Three-Dimensional Reconstruction of Orbital Fractures

Three-Dimensional Reconstruction of Orbital Fractures

Published on: May 16, 2025

A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact

A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact

Published on: September 21, 2017

Area of Science:

Forensic Pathology
Traffic Accident Reconstruction
3D Imaging and Modeling

Background:

Differentiating run-over injuries from other trauma is critical in traffic accident investigations.
Superimposed injuries and competing findings complicate the determination of fatal injury origins.
Existing literature extensively covers pedestrian and vehicle accidents but less so run-over incidents.

Purpose of the Study:

To explore the application of morphometric three-dimensional (3D) reconstruction in analyzing run-over traffic accidents.
To provide new perspectives for forensic pathologists by integrating all findings and traces.
To enhance the future analysis and understanding of run-over accidents.

Main Methods:

Utilized morphometric 3D reconstruction techniques.
Integrated data from forensic imaging, photogrammetry, 3D structured-light, and laser scanning.
Generated 3D models of individuals, clothing, vehicles, and accident sites, including all detected traces and damages.

Main Results:

Demonstrated the capability of morphometric 3D reconstruction to allocate patterned injuries and transferred materials.
Showcased the determination of injury origins and comprehensive incident reconstruction.
Presented three case studies illustrating the possibilities and outcomes of the methodology.

Conclusions:

Morphometric 3D reconstruction offers significant potential for detailed analysis of run-over accidents.
This interdisciplinary approach provides new and valuable insights into complex injury causation.
The technique can overcome challenges posed by superimposed injuries, improving forensic casework.