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Application of the Scaling Index Method to μ-CT images of human trabecular bone for the characterization of biomechanical strength

机译:将缩放指数法在人胫尖骨μ-CT图像中的应用进行生物力学强度的表征

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Osteoporosis is a metabolic bone disorder characterized by the loss of bone mineral density (BMD) and the deterioration of the bone micro-architecture. Rarefied bone structures are more susceptible to fractures which are the worst complications of osteoporosis. Here, we apply a structure characterization method, namely the Scaling Index Method, to micro-computed tomographic (μ-CT) images of the distal radius and extract 3D nonlinear structure measures to assess the biomechanical properties of trabecular bone. Biomechanical properties were quantified by the maximum compressive strength (MCS) obtained in a biomechanical test and bone mineral density (BMD) was calculated using dual X-ray absorptiometry (DXA). μ-CT images allow for the application of two different modalities of the SIM which differ in the dimensional embedding of the image. Both representations lead to similar correlation coefficients with MCS which are significantly better than the ones obtained using standard 3D morphometric parameters and comparable to the result given by BMD. The analysis of μ-CT images based on the SIM allows for a sharp distinction of the different structural elements which compose the trabecular bone network.
机译:骨质疏松症是一种代谢骨紊乱,其特征是骨密度(BMD)丧失和骨微架构的恶化。稀土骨结构更容易骨折,这是骨质疏松症最糟糕的并发症。这里,我们应用结构表征方法,即缩放索引方法,到远端半径的微计算断层(μ-CT)图像,提取3D非线性结构措施,以评估小梁骨的生物力学性质。通过在生物力学测试中获得的最大压缩强度(MCS)量化生物力学性质,使用双X射线吸收术(DXA)计算骨矿物密度(BMD)。 μ-CT图像允许在图像的尺寸嵌入中施加两个不同的模拟模式。两个表示导致MCS的类似相关系数,该相关系数明显优于使用标准3D形状测量参数获得的MCS,并且与BMD给出的结果相当。基于SIM的μ-CT图像的分析允许构成小梁骨网络的不同结构元件的尖锐区分。

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