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首页> 外文会议>Image Processing pt.1 >The 3D-based scaling index algorithm to optimize structure analysis of trabecular bone in postmenopausal women with and without osteoporotic spine fractures
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The 3D-based scaling index algorithm to optimize structure analysis of trabecular bone in postmenopausal women with and without osteoporotic spine fractures

机译：基于3D的缩放指数算法可优化绝经后女性伴或不伴骨质疏松性脊柱骨折的小梁骨结构分析

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The scaling index method (SIM) is a recently proposed non-linear technique to extract texture measures for the quantitative characterisation of the trabecular bone structure in high resolution magnetic resonance imaging (HR-MRI). The three-dimensional tomographic images are interpreted as a point distribution in a state space where each point (voxel) is defined by its x, y, z coordinates and the grey value. The SIM estimates local scaling properties to describe the nonlinear morphological features in this four-dimensional point distribution. Thus, it can be used for differentiating between cluster-, rod-, sheet-like and unstructured (background) image components, which makes it suitable for quantifying the microstructure of human cancellous bone. The SIM was applied to high resolution magnetic resonance images of the distal radius in patients with and without osteoporotic spine fractures in order to quantify the deterioration of bone structure. Using the receiver operator characteristic (ROC) analysis the diagnostic performance of this texture measure in differentiating patients with and without fractures was compared with bone mineral density (BMD). The SIM demonstrated the best area under the curve (AUC) value for discriminating the two groups. The reliability of our new texture measure and the validity of our results were assessed by applying bootstrapping resampling methods. The results of this study show that trabecular structure measures derived from HR-MRI of the radius in a clinical setting using a recently proposed algorithm based on a local 3D scaling index method can significantly improve the diagnostic performance in differentiating postmenopausal women with and without osteoporotic spine fractures.
机译：缩放指数方​​法（SIM）是最近提出的一种非线性技术，用于提取纹理量度以用于高分辨率磁共振成像（HR-MRI）中的小梁骨结构的定量表征。三维断层图像被解释为状态空间中的点分布，其中每个点（体素）由其x，y，z坐标和灰度值定义。 SIM估计局部缩放属性，以描述此四维点分布中的非线性形态特征。因此，它可用于区分簇状，杆状，片状和非结构化（背景）图像分量，这使其适合于定量人松质骨的微观结构。 SIM可以应用于有骨质疏松性脊柱骨折和没有骨质疏松性脊柱骨折的患者的radius骨远端高分辨率磁共振图像，以量化骨结构的恶化。使用接收器操作员特征（ROC）分析，将这种质地测量在区分有无骨折的患者中的诊断性能与骨矿物质密度（BMD）进行了比较。 SIM显示出曲线下（AUC）值的最佳区域，以区分两组。我们采用自举重采样方法评估了我们新纹理测量的可靠性和结果的有效性。这项研究的结果表明，在临床环境中，使用最近提出的基于局部3D缩放指数方​​法的算法，从from骨HR-MRI得出的骨小梁结构测量值可以显着提高区分有骨质疏松和无骨质疏松脊柱的绝经后妇女的诊断性能骨折。

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