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Bringing burnt bones back to 'life' using 3D technology

Date:
June 24, 2020
Source:
University of Portsmouth
Summary:
Forensic scientists have discovered a new way of presenting fragile evidence, by reconstructing a 'jigsaw' of human bone fragments using 3D printing. In the first known study of its kind, researchers took fragmented burnt human bones and tested the ability to make 3D models suitable to be shown to a jury in court.
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Forensic scientists at the University of Portsmouth have discovered a new way of presenting fragile evidence, by reconstructing a 'jigsaw' of human bone fragments using 3D printing.

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In the first known study of its kind, researchers took fragmented burnt human bones and tested the ability to make 3D models suitable to be shown to a jury in court.

Forensic investigation of crime scenes and other incidents requires the analysis of many different items as evidence, including human remains, some of which may be damaged or fragmented. To determine whether these pieces of evidence were originally one whole, they have to undergo a process called 'physical fit analysis'.

One of the scientists involved in the research, Dr Katherine Brown, Senior Lecturer, Institute of Criminal Justice Studies, University of Portsmouth, says: "A positive physical fit indicates that two or more fragments having originated from the same object. Confirming physical fit at a crime scene is essential to draw links between locations, place suspects at the scene, and allow for object reconstruction."

However, physical fit analysis relies on the manual handling and then placing back together of the human remains and is often challenging to conduct with bone fragments particularly when fragile, sharp, or embedded in other materials.

Dr Brown says: "We wanted to find a way to circumvent the need to manually handle the delicate bones, so we looked to 3D technology. Whilst the use of 3D technology has become increasingly widespread within the field of forensics to our knowledge, this approach has not yet been applied explicitly to physical fit analysis."

The scientists compared two different 3D imaging techniques, micro computed tomography and structured light scanning. By generating virtual 3D models and prints of burned human bone fragments, they tested the suitability of these imaging techniques and subsequent 3D printing for physical fit analysis. The researchers ultimately found that 3D imaging and printing allowed for effective physical fit analysis without excessively handling the original fragments.

Limiting the handling of fragile forensic evidence minimises damage and contamination. Additionally, the use of 3D prints opens up the possibility for physical fit demonstration, and the opportunity for a jury to explore the evidence replicas. Interaction with 3D virtual models and animations also provides 360 degree visualisation in an engaging, understandable and potentially impactful way, improving a jury's understanding.

Dr Brown says: "The application of 3D imaging and printing for physical fit analysis has many advantages compared with traditional methods. Overall, the techniques demonstrated by the study add value in forensic investigation and evidence presentation within the courtroom."

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Story Source:

Materials provided by University of Portsmouth. Note: Content may be edited for style and length.


Journal Reference:

  1. Amber J. Collings, Katherine Brown. Reconstruction and physical fit analysis of fragmented skeletal remains using 3D imaging and printing. Forensic Science International: Reports, 2020; 2: 100114 DOI: 10.1016/j.fsir.2020.100114

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University of Portsmouth. "Bringing burnt bones back to 'life' using 3D technology." ScienceDaily. ScienceDaily, 24 June 2020. <www.sciencedaily.com/releases/2020/06/200624095950.htm>.
University of Portsmouth. (2020, June 24). Bringing burnt bones back to 'life' using 3D technology. ScienceDaily. Retrieved June 25, 2020 from www.sciencedaily.com/releases/2020/06/200624095950.htm
University of Portsmouth. "Bringing burnt bones back to 'life' using 3D technology." ScienceDaily. www.sciencedaily.com/releases/2020/06/200624095950.htm (accessed June 25, 2020).

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