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Related Experiment Video

Updated: Mar 3, 2026

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

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

Published on: June 7, 2024

Forensic 3D avatars - AI-assisted injury detection and interactive digital-twin visualization.

Michael Thali¹, Alexander Braun², Ralph P Braun²

¹Virtopsy Research Lab, Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.

Forensic Science, Medicine, and Pathology

|March 1, 2026

Summary

A 3D body scanner and artificial intelligence (AI) software can document simulated injuries for forensic science. This technology offers faster, standardized, and precise injury analysis, improving forensic documentation.

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Last Updated: Mar 3, 2026

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Area of Science:

Forensic Medicine
Medical Imaging
Artificial Intelligence

Background:

Forensic documentation of injuries is crucial for legal proceedings.
Current methods can be time-consuming and subjective.
Advancements in 3D scanning and AI offer potential for improved objectivity and efficiency.

Purpose of the Study:

To assess the feasibility of using a dermatology-based 3D full-body scanning system (VECTRA WB360) with AI for forensic documentation.
To evaluate the system's capability in automated detection, localization, and measurement of simulated injuries.
To explore the potential benefits and limitations of this technology in forensic medicine.

Main Methods:

Utilized the VECTRA WB360 3D full-body scanner to create high-resolution, color-accurate 3D avatars.
Employed artificial intelligence (AI) software for automated analysis of simulated cutaneous findings.
Assessed the system's performance in identifying and localizing injuries, including in challenging anatomical areas.
Developed an interactive forensic dashboard for data visualization.

Main Results:

The 3D scanning system rapidly generated detailed 3D avatars.
AI-assisted analysis successfully detected and localized simulated injuries with high accuracy.
The system demonstrated effectiveness even in anatomically complex regions.
Identified advantages such as speed, standardization, and precise anatomical localization.

Conclusions:

The integrated 3D scanning and AI system shows promise for enhancing forensic documentation efficiency and objectivity.
Limitations including dermatology-focused training data, motion artifacts, and cost require further investigation.
Future development of forensic-specific AI modules and validation are necessary for clinical and legal adoption.