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Local displacement and strain uncertainties in different bone types by digital volume correlation of synchrotron microtomograms

机译:同步加速器显微断层图的数字体积相关性分析不同骨骼类型的局部位移和应变不确定性

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摘要

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 μm. In order to consider the effect of the voxel size, analyses were also performed on downsampled images with voxel size of 8 μm. 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 μm, 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 μm for cortical bovine bone (240 μm for downsampled images), 80 μm for trabecular bovine bone (320 μm for downsampled images) and murine tibiae (120 μm 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.
机译:了解不同等级的骨骼力学是改善骨强度的临床前和临床评估的基础。数字体积相关性(DVC)是用于测量局部位移和计算骨骼内局部应变的唯一实验性测量技术。迄今为止,它与实验室源计算机断层扫描(LS-microCT)数据的结合通常会导致高度不确定性,从而限制了其应用。在此,报道了同步加速器辐射微计算机断层扫描(SR-microCT)对DVC的好处。皮质和小梁牛骨和鼠胫骨的标本均在零应变条件下进行扫描,有效体素尺寸为1.6μm。为了考虑体素尺寸的影响,还对体素尺寸为8μm的降采样图像进行了分析。为了评估位移和应变的不确定性,使用全局DVC算法(ShIRT-FE)将每对断层图关联起来。原始SR-microCT的位移随机误差范围为0.024至0.226μm,具体取决于DVC节点间距。对于相关性进行的相关性,应变误差的标准偏差低于200微应变(大约为生理负荷的应变的1/10),皮质牛骨的测量空间分辨率优于40μm(下采样图像的分辨率为240μm),而皮层牛骨的测量分辨率优于80μm。小梁牛骨(降采样后的图像为320μm)和鼠胫骨(降采样后的图像为120μm)。这项研究表明,通过重复扫描估算出的基于SR-microCT的DVC的不确定性低于在类似标本上从基于LS-microCT的DVC所获得的不确定性,并且其低至足以精确测量组织水平的局部变形。

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