Abstract Aortic valve disease accounts for 45% of deaths from heart valve diseases.% \cite{Coffey2015}. An appealing approach to treat aortic valve disease is surgical replacement of the valve leaflets based on chemically treated autologous pericardium. This procedure is attractive due to its low cost and high effectiveness. We aim to develop a computational technology for patient-specific assessment of reconstructed aortic valve function that can be used by surgeons at the preoperative stage. The framework includes automatic computer tomography image segmentation, mesh generation, simulation of valve leaflet deformation. The final decision will be based on uncertainty analysis and leaflet shape optimization. This paper gives a proof of concept of our methodology: simulation methods are presented and studied numerically.

中文翻译：

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基于自动心包膜的主动脉瓣尖接合的数值评估

摘要 主动脉瓣疾病占心脏瓣膜疾病死亡人数的 45%。% \cite{Coffey2015}。治疗主动脉瓣疾病的一种有吸引力的方法是基于化学处理的自体心包手术置换瓣叶。该程序因其低成本和高效率而具有吸引力。我们的目标是开发一种计算技术，用于对重建的主动脉瓣功能进行患者特异性评估，外科医生可以在术前阶段使用。该框架包括自动计算机断层扫描图像分割、网格生成、瓣叶变形模拟。最终决定将基于不确定性分析和传单形状优化。本文给出了我们方法的概念证明：模拟方法被提出和数值研究。