Comparing Experimental Data to Traumatic Brain Injury Finite Element Models

• DOI: 10.4271/99sc20
• Publication Date: 2018-11-22T05:03:39Z
• Authors: Reid T. Miller; Douglas H. Smith; Xiaohan Chen; Bai-Nan Xu; Matt Leoni; Masahiro Nonaka; David F. Meaney
• Keywords: 03 medical and health sciences; 0302 clinical medicine

Validating a traumatic brain injury finite element model is often limited by a lack of extensive animal injury data that may be used to examine the conditions under which the model is accurate. Given that most published reports specify only general descriptions of injury, this study examined potential evaluation strategies and assessed the ability of a finite element model to simulate the general descriptions of injury in an animal model. The results of this study showed that 1) the results from a simplified finite element model to simulate the general descriptions of injury patterns observed in a set of animal experiments, 2) a parameter (Z parameter), which quantified the comparison process between computational and animal data, estimated trends that would help in the model evaluation process, and 3) a more complete evaluation process would occur if multiple testing methods were included in the evaluation procedure.