Suppr超能文献

使用临床分辨率 CT 图像测量股骨小梁骨的结构各向异性。

Measurement of structural anisotropy in femoral trabecular bone using clinical-resolution CT images.

机构信息

Department of Mechanical Engineering, University of Melbourne, Parkville, Victoria 3010, Australia.

出版信息

J Biomech. 2013 Oct 18;46(15):2659-66. doi: 10.1016/j.jbiomech.2013.07.047. Epub 2013 Aug 9.

Abstract

Discrepancies in finite-element model predictions of bone strength may be attributed to the simplified modeling of bone as an isotropic structure due to the resolution limitations of clinical-level Computed Tomography (CT) data. The aim of this study is to calculate the preferential orientations of bone (the principal directions) and the extent to which bone is deposited more in one direction compared to another (degree of anisotropy). Using 100 femoral trabecular samples, the principal directions and degree of anisotropy were calculated with a Gradient Structure Tensor (GST) and a Sobel Structure Tensor (SST) using clinical-level CT. The results were compared against those calculated with the gold standard Mean-Intercept-Length (MIL) fabric tensor using micro-CT. There was no significant difference between the GST and SST in the calculation of the main principal direction (median error=28°), and the error was inversely correlated to the degree of transverse isotropy (r=-0.34, p<0.01). The degree of anisotropy measured using the structure tensors was weakly correlated with the MIL-based measurements (r=0.2, p<0.001). Combining the principal directions with the degree of anisotropy resulted in a significant increase in the correlation of the tensor distributions (r=0.79, p<0.001). Both structure tensors were robust against simulated noise, kernel sizes, and bone volume fraction. We recommend the use of the GST because of its computational efficiency and ease of implementation. This methodology has the promise to predict the structural anisotropy of bone in areas with a high degree of anisotropy, and may improve the in vivo characterization of bone.

摘要

由于临床水平 CT 数据的分辨率限制,将骨骼简化为各向同性结构会导致骨骼强度的有限元模型预测存在差异。本研究旨在计算骨骼的优势取向(主方向)以及与另一方向相比骨骼在一个方向上沉积更多的程度(各向异性程度)。使用 100 个股骨小梁样本,使用临床水平 CT 通过梯度结构张量 (GST) 和 Sobel 结构张量 (SST) 计算主方向和各向异性程度。将结果与使用微 CT 计算的黄金标准平均截距长度 (MIL) 织构张量的结果进行比较。在计算主要主方向时,GST 和 SST 之间没有显着差异(中位数误差=28°),并且误差与横向各向同性程度呈负相关(r=-0.34,p<0.01)。使用结构张量测量的各向异性程度与基于 MIL 的测量值弱相关(r=0.2,p<0.001)。将主方向与各向异性程度相结合,导致张量分布的相关性显着增加(r=0.79,p<0.001)。两种结构张量都能抵抗模拟噪声、核大小和骨体积分数的影响。我们推荐使用 GST,因为它具有计算效率高和易于实现的优点。这种方法有望预测各向异性程度较高区域的骨骼结构各向异性,并可能改善骨骼的体内特征化。

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