Gao H, Li W G, Cai L, Berry C, Luo X Y
School of Mathematics and Statistics, University of Glasgow, Glasgow, UK.
School of Science, Northwestern Polytechnical University Xi'an, Xi'an, 710072 Shaanxi People's Republic of China.
J Eng Math. 2015;95(1):231-248. doi: 10.1007/s10665-014-9740-3. Epub 2015 Jan 30.
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.
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根据体内临床测量来估计材料特性。在这项工作中,我们从体内左心室腔压力-容积和应变数据中反向评估被动心肌力学特性。使用具有八个参数的基于结构的正交各向异性霍尔扎佩尔-奥格登本构定律来描述左心室心肌。在论文的第一部分,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左心室模型获得的压力-容积和应变数据中反向估计参数。在第二部分中,我们表明,要将此程序应用于体内数据有限的临床情况,优化程序中需要额外的约束条件。我们基于三名不同健康志愿者的研究表明,通过合适的多步优化程序,可以从压力-容积和应变数据中提取霍尔扎佩尔-奥格登定律的参数。尽管使用我们的方法无法解决解的唯一性问题,但材料响应显示出能够得到可靠确定。