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Parameter estimation in a Holzapfel-Ogden law for healthy myocardium

机译:健康心肌的Holzapfel-Ogden定律中的参数估计

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A central problem in biomechanical studies of personalized human left ventricular (LV) modelling is to estimate material properties from in vivo clinical measurements. In this work we evaluate the passive myocardial mechanical properties inversely from the in vivo LV chamber pressure-volume and strain data. The LV myocardium is described using a structure-based orthotropic Holzapfel-Ogden constitutive law with eight parameters. In the first part of the paper we demonstrate how to use a multi-step non-linear least-squares optimization procedure to inversely estimate the parameters from the pressure-volume and strain data obtained from a synthetic LV model in diastole. In the second part, we show that to apply this procedure to clinical situations with limited in vivo data, additional constraints are required in the optimization procedure. Our study, based on three different healthy volunteers, demonstrates that the parameters of the Holzapfel-Ogden law could be extracted from pressure-volume and strain data with a suitable multi-step optimization procedure. Although the uniqueness of the solution cannot be addressed using our approaches, the material response is shown to be robustly determined.
机译:个性化人体左心室(LV)建模的生物力学研究中的一个核心问题是从体内临床测量结果估计材料特性。在这项工作中,我们从体内左室压力容积和应变数据反向评估被动心肌的机械性能。使用具有八个参数的基于正交各向异性的Holzapfel-Ogden本构定律描述LV心肌。在本文的第一部分中,我们演示了如何使用多步非线性最小二乘优化程序从舒张期合成LV模型获得的压力-体积和应变数据中逆估计参数。在第二部分中,我们显示了将该程序应用于体内数据有限的临床情况,在优化程序中还需要其他约束条件。我们的研究基于三位不同的健康志愿者,表明可以采用适当的多步优化程序从压力-体积和应变数据中提取Holzapfel-Ogden定律的参数。尽管解决方案的独特性无法使用我们的方法来解决,但材料响应已被可靠地确定。

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