Dall'Ara Enrico, Tozzi Gianluca
Department of Oncology and Metabolism, Mellanby Centre for Bone Research, University of Sheffield, Sheffield, United Kingdom.
INSIGNEO Institute for in Silico Medicine, University of Sheffield, Sheffield, United Kingdom.
Front Bioeng Biotechnol. 2022 Oct 4;10:1010056. doi: 10.3389/fbioe.2022.1010056. eCollection 2022.
Biological tissues are complex hierarchical materials, difficult to characterise due to the challenges associated to the separation of scale and heterogeneity of the mechanical properties at different dimensional levels. The Digital Volume Correlation approach is the only image-based experimental approach that can accurately measure internal strain field within biological tissues under complex loading scenarios. In this minireview examples of DVC applications to study the deformation of musculoskeletal tissues at different dimensional scales are reported, highlighting the potential and challenges of this relatively new technique. The manuscript aims at reporting the wide breath of DVC applications in the past 2 decades and discuss future perspective for this unique technique, including fast analysis, applications on soft tissues, high precision approaches, and clinical applications.
生物组织是复杂的层次结构材料，由于在不同维度水平上分离尺度和力学性能异质性所带来的挑战，很难对其进行表征。数字体积相关方法是唯一一种基于图像的实验方法，能够在复杂加载场景下准确测量生物组织内部的应变场。在这篇综述中，报告了数字体积相关方法在研究不同维度尺度下肌肉骨骼组织变形方面的应用实例，突出了这项相对新技术的潜力和挑战。本文旨在介绍数字体积相关方法在过去20年中的广泛应用，并探讨这项独特技术的未来前景，包括快速分析、软组织应用、高精度方法以及临床应用。
