Integrating material properties from magnetic resonance elastography into subject-specific computational models for the human brain.

ABSTRACT: Advances in brain imaging and computational methods have facilitated the creation of subject-specific computational brain models that aid researchers in investigating brain trauma using simulated impacts. The emergence of magnetic resonance elastography (MRE) as a non-invasive mechanical neuroimaging tool has enabled in vivo estimation of material properties at low-strain, harmonic loading. An open question in the field has been how this data can be integrated into computational models. The goals of this study were to use a novel MRI dataset acquired in human volunteers to generate models with subject-specific anatomy and material properties, and then to compare simulated brain deformations to subject-specific brain deformation data under non-injurious loading. Models of five subjects were

SUBMITTER: Alshareef A 

PROVIDER: S-EPMC10168673 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature