Suppr超能文献

一种用于体外表征前交叉韧带力学特性的全场三维数字图像相关与建模技术。

A full-field 3D digital image correlation and modelling technique to characterise anterior cruciate ligament mechanics ex vivo.

作者信息

Readioff Rosti, Geraghty Brendan, Comerford Eithne, Elsheikh Ahmed

机构信息

School of Engineering, University of Liverpool, Liverpool L69 3GH, UK.

Institute of Life Course and Medical Sciences, University of Liverpool, William Henry Duncan Building, 6 West Derby Street, L7 8TX, UK.

出版信息

Acta Biomater. 2020 Sep 1;113:417-428. doi: 10.1016/j.actbio.2020.07.003. Epub 2020 Jul 8.

Abstract

It is limiting to use conventional methods when characterising material properties of complex biological tissues with inhomogeneous and anisotropic structure, such as the anterior cruciate ligament (ACL) in the knee joint. This study aims to develop and utilise a three-dimensional digital image correlation method (3D DIC) for the purpose of determining material properties of femur-ACL-tibia complex across the surface without any contact between the tissue and the loading equipment. A full-field (360° view) 3D DIC test setup consisting of six digital single-lens reflex cameras was developed and ACL specimens from skeletally mature dog knee joints were tested. The six cameras were arranged into three pairs and the cameras within each pair were positioned with 25° in between to obtain the desired stereovision output. The test setup was calibrated twice: first to obtain the intrinsic and extrinsic parameters within camera pairs, and second to align the 3D surfaces from each camera pair in order to generate the full view of the ACLs. Using the undeformed 3D surfaces of the ligaments, ACL-specific finite element models were generated. Longitudinal deformation of ligaments under tensile loads obtained from the 3D DIC, and this was analysed to serve as input for the inverse finite element analysis. As a result, hyperelastic coefficients from the first-order Ogden model that characterise ACL behaviour were determined with a marginal error of <1.5%. This test setup and methodology provides a means to accurately determine inhomogeneous and anisotropic material properties of ACL. The methodology described in this study could be adopted to investigate other biological and cultured tissues with complex structure. STATEMENT OF SIGNIFICANCE: Determining the material properties of soft tissues with complex anatomical structure, such as the anterior cruciate ligament (ACL), is important to better understand their contribution to musculoskeletal biomechanics. Current conventional methods for characterising material properties of the ACL are often limited to a contact measurement approach, however an improved understanding of the mechanics of this complex tissue is vital in terms of preventing injury and developing novel therapies. This article reports the development and utilisation of non-contact optical methodology involving full-field three-dimensional digital image correlation and finite element analysis to accurately investigate material properties of the ACL, in a controlled environment. This technique reduces inaccuracies due to specimen clamping and more importantly considers the inhomogeneous nature of the examined tissue.

摘要

在表征具有非均匀和各向异性结构的复杂生物组织(如膝关节前交叉韧带(ACL))的材料特性时,使用传统方法存在局限性。本研究旨在开发并利用三维数字图像相关方法(3D DIC),以确定股骨 - ACL - 胫骨复合体整个表面的材料特性,且组织与加载设备之间无任何接触。开发了一种由六个数码单反相机组成的全场(360°视角)3D DIC测试装置,并对骨骼成熟犬膝关节的ACL标本进行了测试。六个相机被分成三对,每对中的相机相互成25°角放置,以获得所需的立体视觉输出。测试装置进行了两次校准:第一次是为了获得相机对内部的内参和外参,第二次是为了对齐每个相机对的3D表面,以生成ACL的全景视图。利用韧带未变形的3D表面,生成了特定于ACL的有限元模型。从3D DIC获得韧带在拉伸载荷下的纵向变形,并对其进行分析,作为逆有限元分析的输入。结果,确定了表征ACL行为的一阶Ogden模型的超弹性系数,其边际误差<1.5%。该测试装置和方法提供了一种准确确定ACL非均匀和各向异性材料特性的手段。本研究中描述的方法可用于研究其他具有复杂结构的生物和培养组织。重要性声明:确定具有复杂解剖结构的软组织(如前交叉韧带(ACL))的材料特性,对于更好地理解它们对肌肉骨骼生物力学的贡献至关重要。目前用于表征ACL材料特性的传统方法通常限于接触测量方法,然而,更好地理解这种复杂组织的力学对于预防损伤和开发新疗法至关重要。本文报道了在可控环境下,开发并利用涉及全场三维数字图像相关和有限元分析的非接触光学方法,以准确研究ACL的材料特性。该技术减少了由于标本夹紧导致的误差,更重要的是考虑了被检查组织的非均匀性质。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验