Modeling Cerebral Vascular Injury

Report No. ARL-CR-0790
Authors: David Powell
Date/Pages: January 2016; 50 pages
Abstract: Many numerical models for the brain do not include the vascular structures within the brain and thus are incapable of predicting damage to the cerebral vasculature. The presence of the vasculature within the brain produces a reinforcing effect and leads to an increase in the effective stiffness of the combined brain-vascular material. This work developed a code capable of postprocessing an existing head and brain model to determine the deformation in a corresponding cerebral vasculature mesh. With this information, the user can then input the stretches and strains of the vasculature into a damage model of their choice to predict potential vascular injury. The code is capable of using the geometry of the cerebral vasculature to provide information for an updated anisotropic material model, allowing the directional nature of the vessels to inform the material response of the surrounding brain tissue.
Distribution: Approved for public release
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Last Update / Reviewed: January 1, 2016