Literature DB >> 27871103

Development of an Unbiased Validation Protocol to Assess the Biofidelity of Finite Element Head Models used in Prediction of Traumatic Brain Injury.

Chiara Giordano1, Svein Kleiven1.   

Abstract

This study describes a method to identify laboratory test procedures and impact response requirements suitable for assessing the biofidelity of finite element head models used in prediction of traumatic brain injury. The selection of the experimental data and the response requirements were result of a critical evaluation based on the accuracy, reproducibility and relevance of the available experimental data. A weighted averaging procedure was chosen in order to consider different contributions from the various test conditions and target measurements based on experimental error. According to the quality criteria, 40 experimental cases were selected to be a representative dataset for validation. Based on the evaluation of response curves from four head finite element models, CORA was chosen as a quantitative method to compare the predicted time history response to the measured data. Optimization of the CORA global settings led to the recommendation of performing curve comparison on a fixed time interval of 0-30 ms for intracranial pressure and at least 0-40 ms for brain motion and deformation. The allowable maximum time shift was adjusted depending on the shape of the experimental curves (DMAX = 0.12 for intracranial pressure, DMAX = 0.40 for brain motion and DMAX = 0.25 for brain deformation). Finally, bigger penalization of ratings was assigned to curves with fundamentally incorrect shape compared to those having inaccuracies in amplitude or time shift (cubic vs linear). This rigorous approach is necessary to ensure confidence in the model results and progress in the usage of finite element head models for traumatic brain injury prediction.

Entities:  

Mesh:

Year:  2016        PMID: 27871103     DOI: 10.4271/2016-22-0013

Source DB:  PubMed          Journal:  Stapp Car Crash J        ISSN: 1532-8546


  15 in total

1.  A network-based response feature matrix as a brain injury metric.

Authors:  Shaoju Wu; Wei Zhao; Bethany Rowson; Steven Rowson; Songbai Ji
Journal:  Biomech Model Mechanobiol       Date:  2019-11-23

2.  In vivo estimates of axonal stretch and 3D brain deformation during mild head impact.

Authors:  Andrew K Knutsen; Arnold D Gomez; Mihika Gangolli; Wen-Tung Wang; Deva Chan; Yuan-Chiao Lu; Eftychios Christoforou; Jerry L Prince; Philip V Bayly; John A Butman; Dzung L Pham
Journal:  Brain Multiphys       Date:  2020-09-03

3.  White Matter Anisotropy for Impact Simulation and Response Sampling in Traumatic Brain Injury.

Authors:  Wei Zhao; Songbai Ji
Journal:  J Neurotrauma       Date:  2018-08-10       Impact factor: 5.269

4.  Cerebral vascular strains in dynamic head impact using an upgraded model with brain material property heterogeneity.

Authors:  Wei Zhao; Songbai Ji
Journal:  J Mech Behav Biomed Mater       Date:  2021-11-18

5.  Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports.

Authors:  Songbai Ji; Mazdak Ghajari; Haojie Mao; Reuben H Kraft; Marzieh Hajiaghamemar; Matthew B Panzer; Remy Willinger; Michael D Gilchrist; Svein Kleiven; Joel D Stitzel
Journal:  Ann Biomed Eng       Date:  2022-07-22       Impact factor: 4.219

6.  Displacement- and Strain-Based Discrimination of Head Injury Models across a Wide Range of Blunt Conditions.

Authors:  Wei Zhao; Songbai Ji
Journal:  Ann Biomed Eng       Date:  2020-04-02       Impact factor: 3.934

7.  Material properties of the brain in injury-relevant conditions - Experiments and computational modeling.

Authors:  Wei Zhao; Bryan Choate; Songbai Ji
Journal:  J Mech Behav Biomed Mater       Date:  2018-02-06

8.  Displacement Error Propagation From Embedded Markers to Brain Strain.

Authors:  Wei Zhao; Zheyang Wu; Songbai Ji
Journal:  J Biomech Eng       Date:  2021-10-01       Impact factor: 1.899

9.  Anisotropic finite element models for brain injury prediction: the sensitivity of axonal strain to white matter tract inter-subject variability.

Authors:  Chiara Giordano; Stefano Zappalà; Svein Kleiven
Journal:  Biomech Model Mechanobiol       Date:  2017-02-23

10.  Improved safety standards are needed to better protect younger children at playgrounds.

Authors:  Xiaogai Li; Svein Kleiven
Journal:  Sci Rep       Date:  2018-10-10       Impact factor: 4.379

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