Abstract
Computational modelling is becoming a crucial aid to better understand valve physiopathology. It allows experts to gain deeper insights on valve biomechanics and deformation, thus helping in the planning of therapies and assessing the efficacy of cardiovascular devices. However, there is a lack of proper visualization techniques to facilitate the interpretation of simulation results. In this work, Smoothed Particle Hydrodynamics (SPH) was used to model mitral valve regurgitation (MVR) and a common minimally-invasive intervention, an edge-to-edge repair. Furthermore, a flattening visualization of the mitral valve (MV) was implemented to ease the analysis of the obtained in-silico indices in different stages. The obtained results show the relevance of proper planning prior to the edge-to-edge repair procedure, improving the safety and efficacy of the devices, while decreasing the risk of re-intervention.
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Casademunt, P., Camara, O., Bijnens, B., Lluch, È., Morales, H.G. (2022). Valve Flattening with Functional Biomarkers for the Assessment of Mitral Valve Repair. In: Puyol Antón, E., et al. Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge. STACOM 2021. Lecture Notes in Computer Science(), vol 13131. Springer, Cham. https://doi.org/10.1007/978-3-030-93722-5_19
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DOI: https://doi.org/10.1007/978-3-030-93722-5_19
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