Thompson M S, Schell H, Lienau J, Duda G N
Center for Musculoskeletal Surgery, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, D-13353 Berlin, Germany.
Med Eng Phys. 2007 Sep;29(7):820-3. doi: 10.1016/j.medengphy.2006.08.012. Epub 2006 Oct 11.
Local mechanical conditions are known to play a role during the regeneration of musculoskeletal tissues, and histomorphometrical investigations of the time course of healing have enabled specific conclusions regarding the mechanosensitivity of tissue differentiation. However, the mechanism for this influence is not clearly understood. In order to extend this analysis, it is essential to link local histological understanding with direct characterisation of the local mechanical environment. Digital image correlation (DIC) is a computer-based image analysis technique that enables the non-contact measurement of strains on material surfaces and is finding application in many areas of biomechanics. Here we report a DIC technique to investigate the local distribution of mechanical strain within regenerating soft tissue sections. We provide exemplary data from analysis of a section of sheep bone callus. An assessment of displacement measurement accuracy gave an RMS error of 4.2 microm, corresponding to an estimated strain error of 1.4%. The sections showed concentrations of up to four times the applied strain and comparison of the strain patterns with histological analysis confirmed that these concentrations reflected boundaries between hard and soft callus.
已知局部力学条件在肌肉骨骼组织再生过程中发挥作用,对愈合时间进程的组织形态计量学研究已得出有关组织分化机械敏感性的具体结论。然而,这种影响的机制尚不清楚。为了扩展这一分析,有必要将局部组织学认识与局部力学环境的直接特征联系起来。数字图像相关(DIC)是一种基于计算机的图像分析技术,可实现对材料表面应变的非接触测量,并且正在生物力学的许多领域得到应用。在此,我们报告一种DIC技术,用于研究再生软组织切片内机械应变的局部分布。我们提供了对绵羊骨痂切片分析的示例数据。位移测量精度评估得出均方根误差为4.2微米,对应估计应变误差为1.4%。切片显示施加应变的浓度高达四倍,并且将应变模式与组织学分析进行比较证实,这些浓度反映了硬骨痂和软骨痂之间的边界。