Computing Brain White and Grey Matter Injury Severity in a Traumatic Fall
| Autor: | Clive Neal-Sturgess, Christophe Bastien, Xiang Cheng, Huw Davies |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Scale (ratio) Computer science fall 0206 medical engineering 02 engineering and technology Grey matter lcsh:QA75.5-76.95 brain trauma modelling 03 medical and health sciences symbols.namesake 0302 clinical medicine Physical medicine and rehabilitation Material Degradation medicine peak virtual power Brain model Abbreviated Injury Scale lcsh:T57-57.97 lcsh:Mathematics Applied Mathematics General Engineering lcsh:QA1-939 020601 biomedical engineering Computational Mathematics medicine.anatomical_structure trauma modelling lcsh:Applied mathematics. Quantitative methods Virtual power Brain size symbols organ trauma model lcsh:Electronic computers. Computer science 030217 neurology & neurosurgery Lagrangian |
| Zdroj: | Mathematical and Computational Applications Volume 25 Issue 3 Mathematical and Computational Applications, Vol 25, Iss 61, p 61 (2020) |
| ISSN: | 2297-8747 |
| DOI: | 10.3390/mca25030061 |
| Popis: | In the real world, the severity of traumatic injuries is measured using the Abbreviated Injury Scale (AIS). However, the AIS scale cannot currently be computed by using the output from finite element human computer models, which currently rely on maximum principal strains (MPS) to capture serious and fatal injuries. In order to overcome these limitations, a unique Organ Trauma Model (OTM) able to calculate the threat to the life of a brain model at all AIS levels is introduced. The OTM uses a power method, named Peak Virtual Power (PVP), and defines brain white and grey matter trauma responses as a function of impact location and impact speed. This research has considered ageing in the injury severity computation by including soft tissue material degradation, as well as brain volume changes due to ageing. Further, to account for the limitations of the Lagrangian formulation of the brain model in representing hemorrhage, an approach to include the effects of subdural hematoma is proposed and included as part of the predictions. The OTM model was tested against two real-life falls and has proven to correctly predict the post-mortem outcomes. This paper is a proof of concept, and pending more testing, could support forensic studies. |
| Databáze: | OpenAIRE |
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