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Forensic exploitation of patterned injuries: Promoting structured analysis as an early assessment for comparison
Stella Fahrni1,2, Olivier Delémont1, Silke Grabherr2
1School of Criminal Justice, University of Lausanne, 1015, Lausanne-Dorigny, Switzerland.
Forensic Science International. Synergy
|May 2, 2024
Summary
A new protocol for analyzing 3D surface imaging of patterned injuries improves early assessment and selection of informative cases. This method enhances the ability to identify the responsible object from blunt force trauma evidence.
Area of Science:
- Forensic science
- Biomechanical engineering
- Digital imaging analysis
Background:
- 3D surface imaging is used for morphometric comparison of patterned injuries.
- This approach does not always yield accurate conclusions in forensic casework.
- An early assessment of comparison outcomes is needed to select informative lesions.
Purpose of the Study:
- To evaluate a selection protocol focused on the analysis phase.
- To enable early assessment of comparison outcomes for patterned injuries.
- To select lesions likely to lead to probative conclusions in forensic investigations.
Main Methods:
- 65 patterned injuries were created on a simulated human skin model using 23 blunt objects.
- A blinded analysis and comparison of lesion photographs and 3D models were performed.
- A selection protocol was applied during the analysis phase.
Main Results:
- The analysis phase protocol was consistent with comparison results in most cases.
- The protocol enabled correct identification of the responsible object or narrowed it down to 2-3 possibilities.
- This approach improved the exploitation of patterned injuries from surface imaging data.
Conclusions:
- A selection protocol focused on the analysis phase can improve early assessment of patterned injury comparisons.
- The developed protocol enhances the ability to identify the source of blunt force trauma from surface imaging.
- While effective, certain limiting factors require further consideration for optimal application.

