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本文引用的文献

1
Computational Modeling of Healthy Myocardium in Diastole.舒张期健康心肌的计算建模
Ann Biomed Eng. 2016 Apr;44(4):980-92. doi: 10.1007/s10439-015-1403-7. Epub 2015 Jul 28.
2
Temporal Changes in Infarct Material Properties: An In Vivo Assessment Using Magnetic Resonance Imaging and Finite Element Simulations.梗死物质特性的时间变化:使用磁共振成像和有限元模拟的体内评估
Ann Thorac Surg. 2015 Aug;100(2):582-9. doi: 10.1016/j.athoracsur.2015.03.015. Epub 2015 Jun 19.
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Estimating passive mechanical properties in a myocardial infarction using MRI and finite element simulations.利用磁共振成像(MRI)和有限元模拟估算心肌梗死中的被动力学特性。
Biomech Model Mechanobiol. 2015 Jun;14(3):633-47. doi: 10.1007/s10237-014-0627-z. Epub 2014 Oct 15.
4
Structure-based finite strain modelling of the human left ventricle in diastole.基于结构的人左心室舒张期有限应变建模。
Int J Numer Method Biomed Eng. 2013 Jan;29(1):83-103. doi: 10.1002/cnm.2497. Epub 2012 Jun 27.
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Mapping myocardial fiber orientation using echocardiography-based shear wave imaging.利用基于超声心动图的剪切波成像技术绘制心肌纤维方向图。
IEEE Trans Med Imaging. 2012 Mar;31(3):554-62. doi: 10.1109/TMI.2011.2172690. Epub 2011 Oct 19.
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Constitutive modelling of passive myocardium: a structurally based framework for material characterization.被动心肌的本构建模:一种基于结构的材料特性表征框架。
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A comparison of monodomain and bidomain reaction-diffusion models for action potential propagation in the human heart.单域和双域反应扩散模型在人体心脏动作电位传播中的比较。
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8
Shear properties of passive ventricular myocardium.被动心室心肌的剪切特性。
Am J Physiol Heart Circ Physiol. 2002 Dec;283(6):H2650-9. doi: 10.1152/ajpheart.00111.2002.
9
Laminar structure of the heart: ventricular myocyte arrangement and connective tissue architecture in the dog.心脏的层状结构:犬心室肌细胞排列和结缔组织结构
Am J Physiol. 1995 Aug;269(2 Pt 2):H571-82. doi: 10.1152/ajpheart.1995.269.2.H571.
10
Fiber orientation in the canine left ventricle during diastole and systole.犬左心室舒张期和收缩期的纤维取向。
Circ Res. 1969 Mar;24(3):339-47. doi: 10.1161/01.res.24.3.339.

左心室力学对肌纤维结构的敏感性:一项有限元研究。

Sensitivity of left ventricular mechanics to myofiber architecture: A finite element study.

作者信息

Nikou Amir, Gorman Robert C, Wenk Jonathan F

机构信息

Department of Mechanical Engineering, University of Kentucky, Lexington, KY, USA.

Gorman Cardiovascular Research Group and Department of Surgery, University of Pennsylvania, Philadelphia, PA, USA.

出版信息

Proc Inst Mech Eng H. 2016 Jun;230(6):594-8. doi: 10.1177/0954411916638685. Epub 2016 Mar 14.

DOI:10.1177/0954411916638685
PMID:26975892
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6563342/
Abstract

The goal of this study was to investigate the sensitivity of computational models of the heart to their incorporated myofiber architecture during diastole. This architecture plays a critical role in the mechanical and electrical function of the heart and changes after myocardial tissue remodeling, which is associated with some of the most common heart diseases. In this study, a left ventricular finite element model of the porcine heart was created using magnetic resonance imaging, which represents the in vivo geometry. Various myofiber architectures were assigned to the finite element mesh, in the form of fiber and sheet angles. A structural-based material law was used to model the behavior of passive myocardium and its parameters were estimated using measured in vivo strains and cavity volume from magnetic resonance imaging. The final results showed noticeable sensitivity of the stress distribution to both the fiber and sheet angle distributions. This implies that a structural-based material law that takes into account the effect of both fiber and sheet angle distributions should be used. The results also show that although the simulation results improve using available data from histological studies of myocardial structure, the need for individualized myofiber architecture data is crucial.

摘要

本研究的目的是调查心脏计算模型在舒张期对其所纳入的肌纤维结构的敏感性。这种结构在心脏的机械和电功能中起着关键作用,并且在心肌组织重塑后会发生变化,而心肌组织重塑与一些最常见的心脏病相关。在本研究中,使用磁共振成像创建了猪心脏的左心室有限元模型,该模型代表体内几何形状。以纤维和片层角度的形式将各种肌纤维结构分配给有限元网格。使用基于结构的材料定律对被动心肌的行为进行建模,并使用磁共振成像测量的体内应变和腔室容积估计其参数。最终结果表明,应力分布对纤维和片层角度分布均具有显著的敏感性。这意味着应使用考虑纤维和片层角度分布影响的基于结构的材料定律。结果还表明,尽管使用来自心肌结构组织学研究的现有数据可改善模拟结果,但个性化肌纤维结构数据的需求至关重要。