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在丰富的变形下对体内人体皮肤的机械响应进行建模。

Modeling the mechanical response of in vivo human skin under a rich set of deformations.

机构信息

Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.

出版信息

Ann Biomed Eng. 2011 Jul;39(7):1935-46. doi: 10.1007/s10439-011-0292-7. Epub 2011 Mar 11.

Abstract

Determining the mechanical properties of an individual's skin is important in the fields of pathology, biomedical device design, and plastic surgery. To address this need, we present a finite element model that simulates the skin of the anterior forearm and posterior upper arm under a rich set of three-dimensional deformations. We investigated the suitability of the Ogden and Tong and Fung strain energy functions along with a quasi-linear viscoelastic law. Using non-linear optimization techniques, we found material parameters and in vivo pre-stresses for different volunteers. The model simulated the experiments with errors-of-fit ranging from 13.7 to 21.5%. Pre-stresses ranging from 28 to 92 kPa were estimated. We show that using only in-plane experimental data in the parameter optimization results in a poor prediction of the out-of-plane response. The identifiability of the model parameters, which are evaluated using different determinability criteria, improves by increasing the number of deformation orientations in the experiments.

摘要

确定个体皮肤的力学性能在病理学、生物医学设备设计和整形外科学领域非常重要。为满足这一需求,我们提出了一种有限元模型,可模拟前前臂和后上臂皮肤在丰富的三维变形下的情况。我们研究了 Ogden 和 Tong 以及 Fung 应变能函数以及拟线性粘弹性定律的适用性。使用非线性优化技术,我们为不同志愿者找到了材料参数和体内预应力。该模型通过拟合误差在 13.7%至 21.5%范围内的实验来模拟实验。估计的预应力范围为 28 至 92 kPa。我们表明,仅在参数优化中使用平面内实验数据会导致对平面外响应的预测不佳。通过增加实验中变形方向的数量,可以提高模型参数的可识别性,这些模型参数是使用不同的可确定准则进行评估的。

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