The mechanical properties of normal soft tissues, including breast tissue, have been of interest to the biomedical research community as there are many clinical and industrial applications that can benefit from quantitative information characterizing such properties. For instance, computer assisted surgery planning, elastography for breast cancer diagnosis, and bra design can all involve biomechanical modeling of the breast to predict its deformation or stress distribution. It is known that most biological soft tissues, including breast tissue, exhibit nonlinear mechanical response over large strains. As such, it is necessary to model such tissues as hyperelastic. In this work, we used indentation testing to estimate the hyperelastic parameters of 4 models (3rd order Ogden, 5-term polynomial, Veronda-Westman and Yeoh) estimated from 72 healthy ex vivo breast tissue samples covering adipose, fibroglandular, and mixed tissue. All estimated parameter sets were confirmed to represent stable material using Drucker's stability criterion. We observed that all three tissue types were statistically similar solidifying the use of homogenous breast modelling over large strain simulation.

生物医学研究界对正常软组织（包括乳房组织）的机械特性很感兴趣，因为有许多临床和工业应用可以从表征这些特性的定量信息中受益。例如，计算机辅助手术计划、用于乳腺癌诊断的弹性成像和胸罩设计都可能涉及乳房的生物力学建模，以预测其变形或应力分布。众所周知，大多数生物软组织，包括乳房组织，在大应变下表现出非线性机械响应。因此，有必要将此类组织建模为超弹性。在这项工作中，我们使用压痕测试来估计 4 个模型的超弹性参数（3 阶 Ogden、5 项多项式、Veronda-Westman 和 Yeoh）从 72 个健康离体乳腺组织样本，包括脂肪、纤维腺体和混合组织。使用 Drucker 的稳定性标准确认所有估计的参数集代表稳定的材料。我们观察到所有三种组织类型在统计上相似，这巩固了在大应变模拟上使用同质乳房建模。