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首页> 外文期刊>Journal of Biomechanics >Local displacement and strain uncertainties in different bone types by digital volume correlation of synchrotron microtomograms
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Local displacement and strain uncertainties in different bone types by digital volume correlation of synchrotron microtomograms

机译:通过同步微型图的数字体积相关性的不同骨类型中的局部位移和应变不确定性

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Understanding bone mechanics at different hierarchical levels is fundamental to improve preclinical and clinical assessments of bone strength. Digital Volume Correlation (DVC) is the only experimental measurement technique used for measuring local displacements and calculating local strains within bones. To date, its combination with laboratory source micro-computed tomography (LS-microCT) data typically leads to high uncertainties, which limit its application. Here, the benefits of synchrotron radiation micro computed tomography (SR-microCT) for DVC are reported. Specimens of cortical and trabecular bovine bone and murine tibiae, were each scanned under zero-strain conditions with an effective voxel size of 1.6 mu m. In order to consider the effect of the voxel size, analyses were also performed on downsampled images with voxel size of 8 mu m. To evaluate displacement and strain uncertainties, each pair of tomograms was correlated using a global DVC algorithm (ShIRT-FE). Displacement random errors for original SR-microCT ranged from 0.024 to 0.226 mu m, depending on DVC nodal spacing. Standard deviation of strain errors was below 200 microstrain (ca. 1/10 of the strain associated with physiological loads) for correlations performed with a measurement spatial resolution better than 40 mu m for cortical bovine bone (240 pm for downsampled images), 80 mu m for trabecular bovine bone (320 pm for downsampled images) and murine tibiae (120 mu m for downsampled images). This study shows that the uncertainties of SR-microCT-based DVC, estimated from repeated scans, are lower than those obtained from LS-microCT-based DVC on similar specimens and low enough to measure accurately the local deformation at the tissue level. (C) 2017 The Author(s). Published by Elsevier Ltd.
机译:了解不同层次水平的骨力学是改善骨骼强度临床前和临床评估的基础。数字音量相关性(DVC)是用于测量局部位移和在骨骼内计算局部菌株的唯一实验测量技术。迄今为止,它与实验室源微型计算机断层扫描(LS-MicroCT)数据的组合通常会导致高不确定性,限制其应用。这里,报道了同步辐射微计算机断层扫描(SR-MicroCT)的DVC的益处。皮质和小梁牛骨和鼠胫骨标本各自在零株条件下扫描,其有效的体素尺寸为1.6μm。为了考虑体素尺寸的效果,还对血素尺寸为8μm的下采样的图像进行分析。为了评估位移和应变的不确定性,使用全局DVC算法(衬衫-FE)相关每对断层图像。根据DVC节点间距,原始SR-Microct的位移随机误差范围为0.024至0.226 mu m。应变误差的标准偏差低于200微米菌料(CA.与生理负荷相关的菌株的1/10株),用于用测量空间分辨率来进行,对于40μm用于皮质牛骨(用于下采样的图像240pm),80μm m用于小梁牛骨(用于下采样的图像320 pm)和鼠胫骨(用于下采样的图像120 mu m)。本研究表明,从重复扫描的基于SR-Microct的DVC的不确定性低于LS-MicroCT基DVC上的类似样品的DVC,并且足够低,以精确地测量组织水平的局部变形。 (c)2017年作者。 elsevier有限公司出版

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