Efficient estimation of personalized biventricular mechanical function employing gradient-based optimization.
Efficient estimation of personalized biventricular mechanical function employing gradient-based optimization.
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DOI：
10.1002/cnm.2982
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发表时间：
2018-07
影响因子：
2.1
通讯作者：
Wall ST
中科院分区：
文献类型：
--
作者：
Finsberg H;Xi C;Tan JL;Zhong L;Genet M;Sundnes J;Lee LC;Wall ST
单独个性化的心脏力学计算模型可用于估计重要的生理和临床相关量，这些量即使不是不可能，也很难在跳动的心脏中直接测量。在这里，我们提出了一个新的和有效的框架来创建患者特异性双心室模型，使用基于梯度的数据同化方法来评估区域心肌收缩力和估计肌纤维应力。这些模拟可以在不到2小时的时间内在普通笔记本电脑上进行，并在整个心脏周期内产生测量和模拟的体积和应变数据之间的良好拟合。通过对3个健康人双心室数据的应用框架，我们提取了临床上重要的数量，并探讨了纤维角对心脏功能的作用。我们的研究结果表明，在心内膜和心外膜上需要陡峭的纤维角度来产生与测量的应变和体积数据兼容的模拟运动。我们还发现右心室的收缩和随后的收缩应力明显低于左心室。在患者数据和模型选择方面，估计数量的可变性也很低。由于其高效率，该框架可能适用于为诊断目的建立患者特定心脏力学模型。
Individually personalized computational models of heart mechanics can be used to estimate important physiological and clinically‐relevant quantities that are difficult, if not impossible, to directly measure in the beating heart. Here, we present a novel and efficient framework for creating patient‐specific biventricular models using a gradient‐based data assimilation method for evaluating regional myocardial contractility and estimating myofiber stress. These simulations can be performed on a regular laptop in less than 2 h and produce excellent fit between measured and simulated volume and strain data through the entire cardiac cycle. By applying the framework using data obtained from 3 healthy human biventricles, we extracted clinically important quantities as well as explored the role of fiber angles on heart function. Our results show that steep fiber angles at the endocardium and epicardium are required to produce simulated motion compatible with measured strain and volume data. We also find that the contraction and subsequent systolic stresses in the right ventricle are significantly lower than that in the left ventricle. Variability of the estimated quantities with respect to both patient data and modeling choices are also found to be low. Because of its high efficiency, this framework may be applicable to modeling of patient specific cardiac mechanics for diagnostic purposes.
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影响因子：
3.8
作者：
Bayer, J. D.;Blake, R. C.;Plank, G.;Trayanova, N. A.
通讯作者：
Trayanova, N. A.
影响因子：
3.5
作者：
Chabiniok, R.;Moireau, P.;Chapelle, D.
通讯作者：
Chapelle, D.
影响因子：
1.9
作者：
Ambrosi, D.;Arioli, G.;Quarteroni, A.
通讯作者：
Quarteroni, A.
影响因子：
2.4
作者：
Genet, M.;Rausch, M. K.;Lee, L. C.;Choy, S.;Zhao, X.;Kassab, G. S.;Kozerke, S.;Guccione, J. M.;Kuhl, E.
通讯作者：
Kuhl, E.
DOI：
10.1115/1.4030667
发表时间：
2015-08-01
影响因子：
1.7
作者：
Genet, Martin;Lee, Lik Chuan;Guccione, Julius M.
通讯作者：
Guccione, Julius M.