Calibration of a Heterogeneous Brain Model Using a Subject-Specific Inverse Finite Element Approach.
image registration
magneticresonance elastography
material properties
morphing
traumatic brain injury
Journal
Frontiers in bioengineering and biotechnology
ISSN: 2296-4185
Titre abrégé: Front Bioeng Biotechnol
Pays: Switzerland
ID NLM: 101632513
Informations de publication
Date de publication:
2021
2021
Historique:
received:
04
02
2021
accepted:
12
04
2021
entrez:
21
5
2021
pubmed:
22
5
2021
medline:
22
5
2021
Statut:
epublish
Résumé
Central to the investigation of the biomechanics of traumatic brain injury (TBI) and the assessment of injury risk from head impact are finite element (FE) models of the human brain. However, many existing FE human brain models have been developed with simplified representations of the parenchyma, which may limit their applicability as an injury prediction tool. Recent advances in neuroimaging techniques and brain biomechanics provide new and necessary experimental data that can improve the biofidelity of FE brain models. In this study, the CAB-20MSym template model was developed, calibrated, and extensively verified. To implement material heterogeneity, a magnetic resonance elastography (MRE) template image was leveraged to define the relative stiffness gradient of the brain model. A multi-stage inverse FE (iFE) approach was used to calibrate the material parameters that defined the underlying non-linear deviatoric response by minimizing the error between model-predicted brain displacements and experimental displacement data. This process involved calibrating the infinitesimal shear modulus of the material using low-severity, low-deformation impact cases and the material non-linearity using high-severity, high-deformation cases from a dataset of
Identifiants
pubmed: 34017826
doi: 10.3389/fbioe.2021.664268
pmc: PMC8129184
doi:
Types de publication
Journal Article
Langues
eng
Pagination
664268Subventions
Organisme : NINDS NIH HHS
ID : U01 NS112120
Pays : United States
Informations de copyright
Copyright © 2021 Giudice, Alshareef, Wu, Knutsen, Hiscox, Johnson and Panzer.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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