Mines Saint-Étienne, CIS-EMSE, 42023, Saint-Étienne, France.
INSERM, U1059, SAINBIOSE, 42023, Saint-Étienne, France.
Biomech Model Mechanobiol. 2017 Oct;16(5):1765-1777. doi: 10.1007/s10237-017-0918-2. Epub 2017 May 23.
It is now a rather common approach to perform patient-specific stress analyses of arterial walls using finite-element models reconstructed from gated medical images. However, this requires to compute for every Gauss point the deformation gradient between the current configuration and a stress-free reference configuration. It is technically difficult to define such a reference configuration, and there is actually no guarantee that a stress-free configuration is physically attainable due to the presence of internal stresses in unloaded soft tissues. An alternative framework was proposed by Bellini et al. (Ann Biomed Eng 42(3):488-502, 2014). It consists of computing the deformation gradients between the current configuration and a prestressed reference configuration. We present here the first finite-element results based on this concept using the Abaqus software. The reference configuration is set arbitrarily to the in vivo average geometry of the artery, which is obtained from gated medical images and is assumed to be mechanobiologically homeostatic. For every Gauss point, the stress is split additively into the contributions of each individual load-bearing constituent of the tissue, namely elastin, collagen, smooth muscle cells. Each constituent is assigned an independent prestretch in the reference configuration, named the deposition stretch. The outstanding advantage of the present approach is that it simultaneously computes the in situ stresses existing in the reference configuration and predicts the residual stresses that occur after removing the different loadings applied onto the artery (pressure and axial load). As a proof of concept, we applied it on an ideal thick-wall cylinder and showed that the obtained results were consistent with corresponding experimental and analytical results of the well-known literature. In addition, we developed a patient-specific model of a human ascending thoracic aneurysmal aorta and demonstrated the utility in predicting the wall stress distribution in vivo under the effects of physiological pressure. Finally, we simulated the whole process preceding traditional in vitro uniaxial tensile testing of arteries, including excision from the body, radial cutting, flattening and subsequent tensile loading, showing how this process may impact the final mechanical properties derived from these in vitro tests.
现在,使用从门控医学图像重建的有限元模型对动脉壁进行特定于患者的应力分析是一种相当常见的方法。然而,这需要为每个高斯点计算当前构型和无应力参考构型之间的变形梯度。定义这样的参考构型在技术上具有挑战性,并且由于卸载软组织中存在内应力,实际上不能保证无应力构型在物理上是可实现的。Bellini 等人提出了一种替代框架(Ann Biomed Eng 42(3):488-502, 2014)。它包括计算当前构型和预应力参考构型之间的变形梯度。我们在这里介绍了基于此概念的第一个有限元结果,使用 Abaqus 软件。参考构型任意设置为动脉的体内平均几何形状,该几何形状是从门控医学图像中获得的,并假定为机械生物平衡。对于每个高斯点,将应力分为组织中每个承载成分的贡献,即弹性蛋白、胶原、平滑肌细胞,以相加的方式进行分解。每个成分在参考构型中被赋予一个独立的预拉伸,称为沉积拉伸。目前方法的突出优点是它同时计算参考构型中存在的原位应力,并预测在去除施加在动脉上的不同载荷(压力和轴向载荷)后出现的残余应力。作为概念验证,我们将其应用于理想的厚壁圆柱体,并表明获得的结果与著名文献中相应的实验和分析结果一致。此外,我们开发了人类升主动脉瘤的患者特定模型,并证明了其在预测生理压力下体内壁应力分布方面的实用性。最后,我们模拟了传统体外单轴拉伸试验之前的整个过程,包括从体内切除、径向切割、扁平化和随后的拉伸加载,展示了这个过程如何影响从这些体外试验得出的最终机械性能。