Modeling and simulation of medical devices are typically established in order to identify parameter dependencies within the system of interest. Most devices are multiphysics problems in the sense that coupling can occur between for instance flow, structure, and temperature. In many systems individual and dependent mechanisms are present bridging length scales from nanometer to millimeter. Typically, the geometries of interest are described by the complex morphology of the components in biological tissues. These factors all contribute to significant complexity of the numerical models being developed. Access to imaging modalities capable of providing the geometrical information of relevance to the problems is central in the establishment and verification of numerical analysis. This abstract present how we used image based models obtained from MRI and CT datasets to risk access patients prone to realizing stroke, and how a scaffold technology for tissue engineering is analyzed both in vitro and in vivo to access its drug delivery capability and biocompatibility.

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