Dabiri Yaghoub, Sack Kevin L, Rebelo Nuno, Wang Peter, Wang Yunjie, Choy Jenny S, Kassab Ghassan S, Guccione Julius M
Department of Surgery,University of California San Francisco,San Francisco, CA 94121; California Medical Innovations Institute,11107 Roselle Street Suite 211,San Diego, CA 92121e-mail:
Department of Surgery,University of California San Francisco,San Francisco, CA 94121.
J Biomech Eng. 2019 Sep 1;141(9):0910071-09100710. doi: 10.1115/1.4044215.
We sought to calibrate mechanical properties of left ventricle (LV) based on three-dimensional (3D) speckle tracking echocardiographic imaging data recorded from 16 segments defined by American Heart Association (AHA). The in vivo data were used to create finite element (FE) LV and biventricular (BV) models. The orientation of the fibers in the LV model was rule based, but diffusion tensor magnetic resonance imaging (MRI) data were used for the fiber directions in the BV model. A nonlinear fiber-reinforced constitutive equation was used to describe the passive behavior of the myocardium, whereas the active tension was described by a model based on tissue contraction (Tmax). isight was used for optimization, which used abaqus as the forward solver (Simulia, Providence, RI). The calibration of passive properties based on the end diastolic pressure volume relation (EDPVR) curve resulted in relatively good agreement (mean error = -0.04 ml). The difference between the experimental and computational strains decreased after segmental strain metrics, rather than global metrics, were used for calibration: for the LV model, the mean difference reduced from 0.129 to 0.046 (circumferential) and from 0.076 to 0.059 (longitudinal); for the BV model, the mean difference nearly did not change in the circumferential direction (0.061) but reduced in the longitudinal direction from 0.076 to 0.055. The calibration of mechanical properties for myocardium can be improved using segmental strain metrics. The importance of realistic fiber orientation and geometry for modeling of the LV was shown.
我们试图基于从美国心脏协会(AHA)定义的16个节段记录的三维(3D)斑点追踪超声心动图成像数据来校准左心室(LV)的力学特性。体内数据用于创建有限元(FE)左心室和双心室(BV)模型。左心室模型中纤维的取向基于规则,但双心室模型中纤维方向使用扩散张量磁共振成像(MRI)数据。使用非线性纤维增强本构方程描述心肌的被动行为,而主动张力则通过基于组织收缩(Tmax)的模型来描述。Isight用于优化,它使用Abaqus作为正向求解器(Simulia,普罗维登斯,罗德岛)。基于舒张末期压力-容积关系(EDPVR)曲线对被动特性进行校准,结果显示出相对较好的一致性(平均误差=-0.04 ml)。在校准中使用节段应变指标而非整体指标后,实验应变与计算应变之间的差异减小:对于左心室模型,平均差异从0.129降至0.046(圆周方向),从0.076降至0.059(纵向方向);对于双心室模型,圆周方向的平均差异几乎没有变化(0.061),但纵向方向从0.076降至0.055。使用节段应变指标可以改善心肌力学特性的校准。显示了逼真的纤维取向和几何形状对左心室建模的重要性。