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Analysis of Bone Trabecular Patterns by Fractal Dimension

机译:分形维数分析骨小梁型

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摘要

Fractal dimension is an index indicating how the structure of object is organized. As well as for the investigation of natural phenomena such as self-similarity, fractal dimension has been widely applied to the area of digital image processing such as texture classification and segmentation, scale factor determination, etc. In particular, some characteristics of two-dimensional images such as roughness, pattern formations, etc. can be analyzed using fractal dimension methods. In this sense, x-ray images can be analyzed using fractal dimension method because x-ray images show trabecular patterns that have pseudo self-similar structures. Showing microscopic structure of bones, trabecular patterns are closely related to the bone mineral density. However, though fractal dimension approaches have been variously attempted to the x-ray bone image processing so far, they are lack of providing clinically available results. In this paper we calculate fractal dimension in 91 distal radius X-ray images. The calculated fractal dimensions are correlated with the bone mineral density measured by a dual energy x-ray absorptiometry.
机译:分形维数是指示对象的结构如何组织的索引。分形维数除了用于研究自相似性之类的自然现象外,还被广泛应用于数字图像处理领域,例如纹理分类和分割,比例因子确定等。特别是二维特征诸如粗糙度,图案形成等的图像可以使用分形维数方法进行分析。从这个意义上讲,可以使用分形维数方法分析X射线图像,因为X射线图像显示了具有伪自相似结构的小梁图案。小梁样式显示出骨骼的微观结构,与骨骼矿物质密度密切相关。然而,尽管到目前为止,已经对X射线骨图像处理进行了各种尝试以分形维数的方法,但它们仍缺乏提供临床可用结果的方法。在本文中,我们计算了91个远端radius骨X射线图像的分形维数。计算的分形维数与通过双能X射线吸收法测量的骨矿物质密度相关。

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