Speaker: Ding Lyu

Abstract: An estimated 1.5 million Americans sustain a Traumatic Brain Injury (TBI) each year. Motor vehicle crashes are the leading cause of TBI resulting in hospitalization. Mathematic modeling of a traumatic event has become a powerful tool to study biomechanical processes of head injuries that are difficult to investigate experimentally on living human subjects. The Global Human Body Modelling Consortium (GHBMC) 50th percentile human adult male head model (M50) based on the Finite element (FE) technique has been developed and validated extensively. Most recently, GHBMC M50 head model was updated with an anisotropic hyperelastic brain model to enable its capability to predict axonal injury in various white matter structures and identify the impact direction-dependent injury risk. The updated GHBMC head model v6.0 was rigorously validated against 63 head impact experiments conducted on Postmortem Human Subject (PMHS) to ensure the accuracy of the prediction of the kinematic, kinetic, stress and strain responses as experienced by the human head from a variety of loading conditions.

To utilize the FE model’s predictive power to delineate the injury process and predict injury severity by relating types of injury to material failure of tissues, tissue level predictors based on model parameters need to be established. Previously, FE head model simulation of 56 helmet impacts involving concussed and non-concussed American Football players suggested that the local brain response in the form of maximum principal strain (MPS) and product of MPS and maximum principal strain rate (MPSR) were predictors that corelated better to neurological symptoms, memory impairment and return to play than the HIC15 (Head Injury Criterion) and rotational acceleration alone. FE reconstruction of limited real-world vehicle crashes involving brain injuries implied that MPS was a potential injury parameter for AIS 4+ diffuse brain injury while the intracranial pressure (ICP) and bridging vein (BV) strain were predictive for brain contusion and ASDH. The objective of this work was to develop Crash-Induced Injuries indices (CIIs) for the GHBMC M50 head model v6.0 based on tissue response measures for predicting multiple brain injuries, skull fractures and facial fractures.

Virtual

Zoom link: https://wayne-edu.zoom.us/j/91532814691?pwd=aGJtZnJrYXdBYW5WT1hZbDlqV3hoUT09

Meeting ID: 915 3281 4691
Passcode: 835156