Characterization of the highly nonlinear and anisotropic vascular tissues from experimental inflation data: a validation study toward the use of clinical data for in-vivo modeling and analysis.
Characterization of the highly nonlinear and anisotropic vascular tissues from experimental inflation data: a validation study toward the use of clinical data for in-vivo modeling and analysis.
复制标题
实验通货膨胀数据中高度非线性和各向异性血管组织的表征：用于使用临床数据进行体内建模和分析的验证研究。
DOI：
10.1007/s10439-008-9541-9
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发表时间：
2008-10
影响因子：
3.8
通讯作者：
Einstein, Daniel R.
中科院分区：
文献类型：
--
作者：
Chen, Kinon;Fata, Bahar;Einstein, Daniel R.
关键词：
在这项研究中，我们调查是否可以使用逆建模方法来表征血管组织的行为，从实验数据的血管在不同水平的内部压力和轴向拉伸，模仿临床数据。考虑了恒定或可变轴向响应的血管体内条件。为了弥补这个数据的限制，不提供轴向力的信息，提出了一个新的概念，以约束的轴向周向弹性模量的比例，一个典型的范围。血管壁的本构行为建模与横向各向同性超弹性方程，占分散的胶原纤维，单层和双层模型进行了检查。并对该方法获得纤维取向的可能性进行了评价。用相同样品的独立移液器抽吸双轴数据验证了表征的行为。结果发现，同质假设是一个过于简单化。约束双层模型与两种类型的实验数据非常吻合。需要预先定义光纤角度以避免协方差问题。最后，我们的方法是相对不变的任何特定的轴向响应。因此，我们认为逆建模方法适合于体内表征。
In this study, we investigate whether an inverse modeling approach can be used to characterize vascular tissue behavior from experimental data of blood vessels subjected at various levels of internal pressure and axial stretch that mimics clinical data. In-vivo condition of blood vessel with either constant or variable axial response is considered. To compensate for the limitation of this data that does not provide axial force information, a new concept to constrain the ratio of axial to circumferential elastic moduli to a typical range is proposed. Vessel wall constitutive behavior was modeled with a transversely isotropic hyperelastic equation that accounts for dispersed collagen fibers, and both single-layer and bi-layer models were implemented for examination. The possibility of obtaining the fiber orientation in this approach was also evaluated. The characterized behavior was validated with an independent pipette-aspiration biaxial data on the same samples. It was found that homogenous assumption is an over-simplification. The constrained bi-layer model was in excellent agreement with both types of experimental data. Fiber angle is needed to be pre-defined to avoid covariance problem. Finally, our approach is relatively invariant to any particular axial response. Therefore, we believe that inverse modeling approach is suitable for in-vivo characterization.
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影响因子：
2.4
作者：
LANIR, Y;FUNG, YC
通讯作者：
FUNG, YC
影响因子：
3.8
作者：
HUMPHREY, JD;KANG, T;ANJANAPPA, M
通讯作者：
ANJANAPPA, M
影响因子：
2.4
作者：
LANIR, Y;FUNG, YC
通讯作者：
FUNG, YC
DOI：
10.1115/1.1485284
发表时间：
2002-08-01
影响因子：
1.7
作者：
Gasser, TC;Schulze-Bauer, CAJ;Holzapfel, GA
通讯作者：
Holzapfel, GA
影响因子：
2.4
作者：
Billiar, KL;Sacks, MS
通讯作者：
Sacks, MS