Inverse identification of region-specific hyperelastic material parameters for human brain tissue.

ABSTRACT: The identification of material parameters accurately describing the region-dependent mechanical behavior of human brain tissue is crucial for computational models used to assist, e.g., the development of safety equipment like helmets or the planning and execution of brain surgery. While the division of the human brain into different anatomical regions is well established, knowledge about regions with distinct mechanical properties remains limited. Here, we establish an inverse parameter identification scheme using a hyperelastic Ogden model and experimental data from multi-modal testing of tissue from 19 anatomical human brain regions to identify mechanically distinct regions and provide the corresponding material parameters. We assign the 19 anatomical regions to nine governing regions ba

SUBMITTER: Hinrichsen J 

PROVIDER: S-EPMC10511383 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature