Characterizing white matter tissue in large strain via asymmetric indentation and inverse finite element modeling.

Characterizing white matter tissue in large strain via asymmetric indentation and inverse finite element modeling.
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通过不对称压痕和逆有限元建模表征大应变下的白质组织

DOI:
10.1016/j.jmbbm.2016.09.020
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发表时间:
2017-01
影响因子:
3.9
通讯作者:
Zhao X
Zhao X
中科院分区:
工程技术2区
文献类型:
--
作者:
Feng Y;Lee CH;Sun L;Ji S;Zhao X

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表征脑白质的力学特性对于理解和模拟大脑发育和损伤非常重要。由于嵌入了排列成行的轴突纤维,白质通常被建模为横向各向同性材料。然而,大多数研究使用具有单一各向异性不变量的模型或在小应变状态下来表征白质组织。在这项研究中,我们结合了一个单一的实验程序-非对称压痕-和逆有限元(FE)建模来估计白质几乎不可压缩的横观各向同性材料参数。采用包含三个参数的最小形式来模拟大应变区的压痕响应。使用基于遗传算法(GA)的全局优化过程来估计参数。利用猪脑白质平行和垂直于轴突纤维方向的两种压痕结构的实验数据来估计模型参数。这项研究的结果证实了大应变下脑白质的强烈力学各向异性。此外,我们的结果表明,两种压痕构型都需要足够的精度来估计参数,而压头-样品摩擦是重要的。最后,我们还表明,在小应变区域,估计的参数与先前通过试错正向有限元方法获得的参数是一致的。这些发现有助于白质的建模和参数化,特别是在大变形情况下,并展示了所提出的非对称压痕技术在表征具有横向各向同性属性的其他软生物组织方面的潜力。
Characterizing the mechanical properties of white matter is important to understand and model brain development and injury. With embedded aligned axonal fibers, white matter is typically modeled as a transversely isotropic material. However, most studies characterize the white matter tissue using models with a single anisotropic invariant or in a small-strain regime. In this study, we combined a single experimental procedure—asymmetric indentation—with inverse finite element (FE) modeling to estimate the nearly incompressible transversely isotropic material parameters of white matter. A minimal form comprising three parameters was employed to simulate indentation responses in the large-strain regime. The parameters were estimated using a global optimization procedure based on a genetic algorithm (GA). Experimental data from two indentation configurations of porcine white matter, parallel and perpendicular to the axonal fiber direction, were utilized to estimate model parameters. Results in this study confirmed a strong mechanical anisotropy of white matter in large strain. Further, our results suggested that both indentation configurations are needed to estimate the parameters with sufficient accuracy, and that the indenter-sample friction is important. Finally, we also showed that the estimated parameters were consistent with those previously obtained via a trial-and-error forward FE method in the small-strain regime. These findings are useful in modeling and parameterization of white matter, especially under large deformation, and demonstrate the potential of the proposed asymmetric indentation technique to characterize other soft biological tissues with transversely isotropic properties.
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