Biomedical Engineering Department, Amirkabir University of Technology, Tehran, Iran.
Department of Electrical and Computer Engineering, University of Western Ontario, London, Canada; Department of Medical Biophysics, University of Western Ontario, London, Canada; Graduate Program in Biomedical Engineering, University of Western Ontario, London, Canada.
J Mech Behav Biomed Mater. 2018 Jan;77:140-147. doi: 10.1016/j.jmbbm.2017.09.006. Epub 2017 Sep 5.
Mechanical characterization of adipose tissue micro-components is important for various biomedical applications such as tissue engineering and predicting adipose tissue response to forces involved in relevant medical intervention procedures (e.g. breast needle biopsy). For this characterization, we introduce a novel structural method for micromechanical modeling of the adipose tissue. The micromechanical model was developed using fluid-structure interaction (FSI) formulation. We utilized this model within an inverse problem framework to estimate the hyperelastic parameters of adipose tissue extracellular matrix (ECM). Using this framework, the ECM hyperelastic parameters were changed in the FSI model systematically using an optimization algorithm such that the mechanical response obtained from the FSI model matches the corresponding experimental response reported in previous studies. To account for adipocyte size variation, the hyperelastic parameters were determined for different adipocyte sizes in the FSI model. Results obtained in this investigation indicate that at various strains under quasi-static conditions, the stiffness of adipose tissue ECM is ~ (2-3) times higher than that of the adipose tissue. The results also indicate a very good fit between the FSI model responses and their experimental counterparts. This indicates the reliability of the proposed FSI model in capturing major elements of the adipose tissue micromechanics. As such, it is potentially useful in applications such as tissue engineering, estimating tissue deformation pertaining to medical intervention and cataloging the mechanical properties of adipose tissue under health and pathological conditions. It can also be utilized as a forward model for developing inversion algorithms designed to determine pathological adipose microstructural alterations.
脂肪组织微成分的力学特性对于各种生物医学应用非常重要,例如组织工程和预测脂肪组织对相关医疗干预过程中涉及的力的反应(例如乳房针活检)。 为此特性分析,我们提出了一种用于脂肪组织微力学建模的新型结构方法。 微力学模型是使用流固耦合(FSI)公式开发的。 我们在反问题框架内利用该模型来估计脂肪组织细胞外基质(ECM)的超弹性参数。 使用此框架,我们使用优化算法在 FSI 模型中系统地改变 ECM 超弹性参数,以使从 FSI 模型获得的力学响应与先前研究中报告的相应实验响应匹配。 为了考虑脂肪细胞大小的变化,在 FSI 模型中为不同的脂肪细胞大小确定了超弹性参数。 该研究中的结果表明,在准静态条件下的各种应变下,脂肪组织 ECM 的刚度比脂肪组织高约 2-3 倍。 结果还表明 FSI 模型响应与其实验对应物之间非常吻合。 这表明所提出的 FSI 模型在捕获脂肪组织微力学的主要元素方面的可靠性。 因此,它在组织工程、估计与医疗干预相关的组织变形以及在健康和病理条件下对脂肪组织的机械性能进行编目等应用中具有潜在用途。 它还可以用作开发旨在确定病理性脂肪微观结构改变的反演算法的正向模型。