Finite element head model simulation of the case suspected of diffuse axonal injury in the traffic accident

A traumatic brain injury case that diffuses axonal injury was suspected in the physician's diagnosis was simulated using finite element head model based on medical information such as MRI and CT. First, the head model matched the subject's head dimensions and material properties of the sku...

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Bibliographic Details
Published in:International journal of crashworthiness 2018-03, Vol.23 (2), p.182-192
Main Authors: Nakadate, Hiromichi, Zhang, Yuelin, Han, Lu, Aomura, Shigeru, Matsui, Yasuhiro
Format: Article
Language:English
Subjects:
Brain
Collision dynamics
Computer simulation
Crashworthiness
finite element head model
Finite element method
Fractures
Head
Head injuries
Hemorrhage
Injury analysis
intracerebral von Mises stress
intracranial pressure
Magnetic resonance imaging
Mathematical models
Model matching
neurological injury
reconstruction analysis
Skull
Traffic accidents
Traumatic brain injury
Velocity
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Summary:A traumatic brain injury case that diffuses axonal injury was suspected in the physician's diagnosis was simulated using finite element head model based on medical information such as MRI and CT. First, the head model matched the subject's head dimensions and material properties of the skull from the subject's age. Next, the site of the subject's head collision was estimated from the contusion, and collision velocity was estimated from the presence or absence of skull fractures and from the presence or absence of intracranial microhaemorrhage. Finally, we predicted the region of onset and severity of the neurological injury from intracerebral von Mises stress, and the analytical result showed the possibility of mild and partly moderate neurological injury. Furthermore, we assessed the effect of each parameter on the severity of the neurological injury and ascertained that collision velocity is the factor with the greatest effect on von Mises stress.
ISSN:1358-8265
1573-8965
1754-2111
DOI:10.1080/13588265.2017.1316901