A generalized parametric model successfully generated patient-specific aortic valve geometries from CT images of 10 patients with aortic stenosis, enabling realistic blood flow simulations.
A novel 3D parametric model of the aortic valve enables patient-specific blood flow simulations in aortic stenosis using a computationally efficient resistive approach.
Cardiac valves simulation is one of the most complex tasks in cardiovascular modeling. Fluid-structure interaction is not only highly computationally demanding but also requires knowledge of the mechanical properties of the tissue. Therefore, an alternative is to include valves as resistive flow obstacles, prescribing the geometry (and its possible changes) in a simple way, but, at the same time, with a geometry complex enough to reproduce both healthy and pathological configurations. In this work, we present a generalized parametric model of the aortic valve to obtain patient-specific geometries that can be included into blood flow simulations using a resistive immersed implicit surface (RIIS) approach. Numerical tests are presented for geometry generation and flow simulations in aortic stenosis patients whose parameters are extracted from ECG-gated CT images.
Pase et al. (Tue,) conducted a other in Aortic stenosis (n=10). Parametric geometry model of the aortic valve (RIIS approach) was evaluated on Generation of patient-specific valve geometries and transvalvular blood flow simulations. A generalized parametric model successfully generated patient-specific aortic valve geometries from CT images of 10 patients with aortic stenosis, enabling realistic blood flow simulations.
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