The aim of the project is to perform a 4-D vascular image reconstruction and a Lattice Boltzmann-based Computational Fluid Dynamics Simulation at the same time. The proposed approach is in particular interesting, because image reconstruction and flow simulation are performed on the same grid. As the flow simulation is computed without segmentation, both approaches are optimized in an interleaved manner which allows to solve the image reconstruction and the flow simulation problem simultaneously. This results in a 4-D image that is consistent with the physical constraints of the flow simulation and delivers flow parameters as a byproduct of the image reconstruction. We expect this method to have a high impact on the clinical state-of-the-art in neurointerventional treatment.
The aim of the project is to perform a 4-D vascular image reconstruction and a Lattice Boltzmann-based Computational Fluid Dynamics Simulation at the same time. The proposed approach is in particular interesting, because image reconstruction and flow simulation are performed on the same grid. As the flow simulation is computed without segmentation, both approaches are optimized in an interleaved manner which allows to solve the image reconstruction and the flow simulation problem simultaneously. This results in a 4-D image that is consistent with the physical constraints of the flow simulation and delivers flow parameters as a byproduct of the image reconstruction. We expect this method to have a high impact on the clinical state-of-the-art in neurointerventional treatment.