A Proof of Concept Model to Calculate White and Grey Matter AIS Injuries in Pedestrian Collisions

Christophe Bastien, Clive Neal Sturgess, Huw Davies, Richard Wellings, Joshua Bonsor, Xiang Cheng

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Abstract

In the real world, the severity of traumatic injuries is measured using the Abbreviated Injury Scale (AIS) and is often estimated, in finite element human computer models, with the maximum principal strains (MPS) tensor. MPS can predict when a serious injury is reached, but cannot provide any AIS measures lower and higher from this. To overcome these limitations, a new organ trauma model (OTM2), capable of calculating the threat to life of any organ injured, is proposed. The OTM2 model uses a power method, namely peak virtual power, and defines brain white and grey matters trauma responses. It includes human age effect (volume and stiffness), localised impact contact stiffness and provides injury severity adjustments for haemorrhaging. The focus, in this case, is on real world pedestrian brain injuries. OTM2 model was tested against three real-life pedestrian accidents and has proven to reasonably predict the post mortem (PM) outcome. Its AIS predictions are closer to the real-world injury severity than the standard maximum principal strain (MPS) methods currently used. This proof of concept suggests that OTM2 has the potential to improve forensic predictions as well as contribute to the improvement in vehicle safety design through the ability to measure injury severity. This study concludes that future advances in trauma computing would require the development of a brain model that could predict haemorrhaging.
Original languageEnglish
Article number240542684
Pages (from-to)1563-1585
Number of pages23
JournalComputer Methods in Biomechanics and Biomedical Engineering
Volume27
Issue number11
Early online date1 Jul 2024
DOIs
Publication statusPublished - 17 Aug 2024

Bibliographical note

© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

Funder

The authors would like to thank the Road Safety Trust for funding the ‘Reducing Road Traffic Casualties through Improved Forensic Techniques and Vehicle Design’ (‘RoaD’) (RST 65-3-2017) project.

Keywords

  • Peak virtual power (PVP)
  • pedestrian
  • accident reconstruction
  • injury prediction
  • Abbreviated Injury Scale (AIS)
  • organ trauma model

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