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首页> 外文会议>Image Processing pt.3; Progress in Biomedical Optics and Imaging; vol.8,no.31; Proceedings of SPIE-The International Society for Optical Engineering; vol.6512 pt.3 >Analysing μCT images of bone specimen with Wavelets and Scaling Indices: Which texture measure does better depict the trabecular bone structure?
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Analysing μCT images of bone specimen with Wavelets and Scaling Indices: Which texture measure does better depict the trabecular bone structure?

机译：用小波和缩放指数分析骨骼样本的μCT图像：哪种纹理度量能更好地描绘小梁骨结构？

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The visualisation and subsequent quantification of the inner bone structure plays an important role for betterrnunderstanding the disease- or drug-induced changes of the bone in the context of osteoporosis. Scaling indices (SIM) are well suited to quantify these structures on a local level, especially to discriminate between plate-like and rod-like structural elements. Local filters based on wavelets (WVL) are a standard technique in texture analysis. So far, they are mainly used for two-dimensional image data sets. Here we extend the formalism of the spherical Mexican hat wavelets to the analysis of three-dimensional tomographic images and evaluate its performance in comparison with scaling indices, histomorphometric measures and BMD. μCT images with isotropic resolution of 30 × 30 × 30 μm of a sample of 19 trabecular bone specimen of human thoracic vertebrae were acquired. In addition, the bone mineral density was measured by QCT. The maximum compressive strength (MCS) was determined in a biomechanical test. Some wavelet-based as well as all scaling index- based texture measures show a significantly higher correlation with MCS (WVL: ρ~2=0.54, SIM: ρ~2=0.53-0.56) than BMD (ρ~2=0.46), where we find slightly better correlations for SIM than for WVL. The SIM and WVL results are comparable but not better to those obtained with histomorphometric measuresrn(BV/TV: ρ~2=0.45, Tr. N.: ρ~2=0.67, Tr.Sp.: ρ~2=0.67). In conclusion, WVL and SIM techniques can successfully be applied to μCT image data. Since the two measures characterize the image structures on a local scale, they offer the possibility to directly identify and discriminate rods and sheets of the trabecular structure. This property may give new insights about the bone constituents responsible for the mechanical strength.
机译：内部骨结构的可视化和随后的量化对于更好地了解骨质疏松症中由疾病或药物引起的骨骼变化起着重要的作用。缩放指数（SIM）非常适合在局部水平上量化这些结构，尤其是区分板状和杆状结构元素。基于小波（WVL）的局部滤波器是纹理分析中的标准技术。到目前为止，它们主要用于二维图像数据集。在这里，我们将球形墨西哥帽小波的形式主义扩展到三维断层图像的分析，并与缩放指数，组织形态学度量和BMD进行比较，评估其性能。采集人胸椎的19个小梁骨样品的30μm×30μm各向同性分辨率的μCT图像。另外，通过QCT测量骨矿物质密度。在生物力学测试中确定最大抗压强度（MCS）。一些基于小波以及所有基于缩放索引的纹理度量显示出与MCS（WVL：ρ〜2 = 0.54，SIM：ρ〜2 = 0.53-0.56）的相关性明显高于BMD（ρ〜2 = 0.46），我们发现SIM的相关性比WVL更好。 SIM和WVL结果与组织形态计量学结果（BV / TV：ρ〜2 = 0.45，Tr。N .:ρ〜2 = 0.67，Tr.Sp .:ρ〜2 = 0.67）相当，但并不更好。总之，WVL和SIM技术可以成功应用于μCT图像数据。由于这两种措施在局部尺度上表征了图像结构，因此它们提供了直接识别和区分小梁结构的杆和片的可能性。此属性可以提供有关负责机械强度的骨骼成分的新见解。

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