Quantifying Cartilage Biomechanical Properties Using a Linearized Frequency-Domain Method
Quantifying Cartilage Biomechanical Properties Using a Linearized Frequency-Domain Method
复制标题
使用线性频域方法量化软骨生物力学特性
DOI：
10.1007/s10439-017-1861-1
复制
发表时间：
2017
影响因子：
3.8
通讯作者：
Leonidas G. Alexopoulos
中科院分区：
文献类型：
--
作者：
A. Gkousioudi;A. Gkousioudi;Dimitrios S. Tzeranis;Dimitrios S. Tzeranis;G. Kanakaris;M. Saloufas;Leonidas G. Alexopoulos
关节软骨的功能依赖于其独特的力学行为。软骨力学已有几种解析模型，其参数通常是通过拟合本构方程来估计的。这个过程可能很长，而且容易出现实验和拟合错误。Τhis研究描述了一种新的方法，用于估计基于其线性化频率响应的软骨样品的生物力学特性，该频率响应是通过应用一系列叠加到偏置应变的小振幅谐波位移推导出来的。所提出的方法，被称为线性化频域方法（LFM），通过量化胶原酶和透明质酸酶对软骨的影响来证明，它提供了强大的软骨参数估计，总体上与应力松弛分析得到的估计一致。LFM还用于揭示猪软骨生物力学参数的应变依赖性。结果表明，当偏应变从5%增加到15%时，软骨通透性明显降低，但对压缩模量和泊松比没有显著影响。除了软骨，LFM可以潜在地量化组织和生物材料的应变依赖性，从而增强对器官生理和病理的组织水平的理解，导致更好的计算组织模型，并指导组织工程研究。
Articular cartilage function relies on its unique mechanical behavior. Cartilage mechanics have been described by several analytic models, whose parameters are usually estimated by fitting their constitutive equations to stress-relaxation data. This procedure can be long and is prone to experimental and fitting errors. Τhis study describes a novel methodology for estimating the biomechanical properties of cartilage samples based on their linearized frequency response, derived by applying a series of small-amplitude harmonic displacements superimposed to a bias strain. The proposed methodology, denoted as linearized frequency-domain method (LFM), was demonstrated by quantifying the effects of collagenase and hyaluronidase on cartilage, where it provided robust cartilage parameter estimates that overall agreed well with estimates obtained by stress-relaxation analysis. LFM was also applied to unveil the strain-dependent nature of porcine cartilage biomechanical parameters. Results showed that increasing the bias strain from 5% to 15% caused a significant decrease in cartilage permeability but did not have significant effect on the compression modulus and the Poisson’s ratio. Apart from cartilage, LFM can potentially quantify the strain-dependent nature of tissues and biomaterials, thereby enhance tissue-level understanding on organ physiology and pathology, lead to better computational tissue models, and guide tissue engineering research.
登录
查看更多内容
影响因子：
2.4
作者：
Bursac, PM;Obitz, TW;Stamenovic, D
通讯作者：
Stamenovic, D
DOI：
10.1115/1.3138475
发表时间：
1984-01-01
影响因子：
1.7
作者：
ARMSTRONG, CG;LAI, WM;MOW, VC
通讯作者：
MOW, VC
DOI：
10.1115/1.2894880
发表时间：
1991-08-01
影响因子：
1.7
作者：
LAI, WM;HOU, JS;MOW, VC
通讯作者：
MOW, VC
DOI：
10.1115/1.3138591
发表时间：
1986-05-01
影响因子：
1.7
作者：
MAK, AF
通讯作者：
MAK, AF
影响因子：
2.4
作者：
Soltz, MA;Ateshian, GA
通讯作者：
Ateshian, GA