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Structure based classification of u-CT images of humantrabecular bone using local Minkowski Functionals

机译:局部Minkowski功能基于结构的U-CT图像U-CT图像分类

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We analyse A-CT tomographic images of human trabecular bone in vitro. We consider a sample consisting of 201 bone specimens harvested from six different skeletal sites within a narrow range of bone fraction values. Using the characterization of the trabecular bone network given by local Minkowski Functionals, we apply classification algorithms in order to reveal structural similarities in the sample. Clusters show some interesting specific structural features, like compact, porous, and fragmented structures. The contribution of the different skeletal sites to these clusters indicate some variability due to intrinsic structural differences of the specific skeletal site.
机译:我们分析了体外人的小梁骨的A-CT断层图像。我们考虑由来自六个不同骨骼部位收获的201个骨标本组成的样本,在窄范围的骨分数值中。利用本地Minkowski功能给出的小梁骨网络的表征,我们应用分类算法,以揭示样品中的结构相似性。群集显示一些有趣的特定结构特征,如紧凑,多孔和碎片结构。由于特定骨骼部位的内在结构差异,不同骨骼部位对这些簇的贡献表示一些可变性。

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