Huang Lingwei, Korhonen Rami K, Turunen Mikael J, Finnilä Mikko A J
Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.
PeerJ. 2019 Mar 7;7:e6545. doi: 10.7717/peerj.6545. eCollection 2019.
Strain, an important biomechanical factor, occurs at different scales from molecules and cells to tissues and organs in physiological conditions. Under mechanical strain, the strength of tissues and their micro- and nanocomponents, the structure, proliferation, differentiation and apoptosis of cells and even the cytokines expressed by cells probably shift. Thus, the measurement of mechanical strain (i.e., relative displacement or deformation) is critical to understand functional changes in tissues, and to elucidate basic relationships between mechanical loading and tissue response. In the last decades, a great number of methods have been developed and applied to measure the deformations and mechanical strains in tissues comprising bone, tendon, ligament, muscle and brain as well as blood vessels. In this article, we have reviewed the mechanical strain measurement from six aspects: electro-based, light-based, ultrasound-based, magnetic resonance-based and computed tomography-based techniques, and the texture correlation-based image processing method. The review may help solving the problems of experimental and mechanical strain measurement of tissues under different measurement environments.
应变是一个重要的生物力学因素,在生理条件下,从分子、细胞到组织和器官,不同尺度上都会出现应变。在机械应变作用下,组织及其微观和纳米成分的强度、细胞的结构、增殖、分化和凋亡,甚至细胞表达的细胞因子都可能发生变化。因此,测量机械应变(即相对位移或变形)对于理解组织的功能变化以及阐明机械负荷与组织反应之间的基本关系至关重要。在过去几十年中,已经开发并应用了大量方法来测量包括骨骼、肌腱、韧带、肌肉、大脑以及血管在内的组织中的变形和机械应变。在本文中,我们从六个方面综述了机械应变测量方法:基于电的、基于光的、基于超声的、基于磁共振的、基于计算机断层扫描的技术以及基于纹理相关性的图像处理方法。该综述可能有助于解决不同测量环境下组织的实验和机械应变测量问题。