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首页> 外文会议>SPIE Conference on Image processing >Texture analysis of clinical radiographs using radon transform on alocal scale for differentiation between post-menopausal women withand without hip fracture
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Texture analysis of clinical radiographs using radon transform on alocal scale for differentiation between post-menopausal women withand without hip fracture

机译：氡X线变换对局部规模临床射线照相临床射线照相的纹理分析，无髋部骨折的绝经后妇女分化

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Osteoporosis is a chronic condition characterized by demineralization and destruction of bone tissue. Fractures associated with the disease are becoming an increasingly relevant issue for public health institutions. Prediction of fracture risk is a major focus research and, over the years, has been approched by various methods. Still, bone mineral density (BMD) obtained by dual-energy X-ray absorptiometry (DXA) remains the clinical gold-standard for diagnosis and follow-up of osteoporosis. However, DXA is restricted to specialized diagnostic centers and there exists considerable overlap in BMD results between populations of individuals with and without fractures. Clinically far more available than DXA is conventional x-ray imaging depicting trabecular bone structure in great detail. In this paper, we demonstrate that bone structure depicted by clinical radiographs can be analysed quantitatively by parameters obtained from the Radon Transform (RT). RT is a global analysis-tool for detection of predefined, parameterized patterns, e.g. straight lines or struts, representing suitable approximations of trabecular bone texture. The proposed algorithm differentiates between patients with and without fractures of the hip by application of various texture-metrics based on the Radon-Transform to standard x-ray images of the proximal femur. We consider three different regions-of-interest in the proximal femur (femoral head, neck, and inter-trochanteric area), and conduct an analysis with respect to correct classification of the fracture status. Performance of the novel approach is compared to DXA. We draw the conclusion that performance of RT is comparable to DXA and may become a useful supplement to densitometry for the prediction of fracture risk.
机译：骨质疏松症是一种慢性病症，其特征在于骨组织的脱矿质和破坏。与该疾病相关的骨折正在成为公共卫生机构越来越有关的问题。预测骨折风险是一个主要的重点研究，多年来一直被各种方法批准。仍然，通过双能X射线吸收测定法（DXA）获得的骨矿物密度（BMD）仍然是骨质疏松症诊断和随访的临床金标准。然而，DXA仅限于专业的诊断中心，并且BMD在具有和没有骨折的个体的人群之间存在相当大的重叠。临床上比DXA更具可用的是传统的X射线成像，描绘了细节的小梁骨结构。在本文中，我们证明可以通过从氡变换（RT）获得的参数来定量分析临床射线照片的骨结构。 RT是用于检测预定义的参数化模式的全局分析工具，例如，直线或支柱，代表了小梁骨骼纹理的合适近似。通过基于氡变换的氡变换应用于近端股骨的标准X射线图像，该算法通过应用各种纹理度量来区分患者的患者和没有骨折的骨折。我们考虑在近端股骨（股骨头，颈部和TrooChanteric区）中三种不同的兴趣区域，并对骨折状态的正确分类进行分析。将新方法的性能与DXA进行比较。我们得出结论，RT的性能与DXA相当，并且可以成为对裂缝风险预测的密度测定的有用补充剂。

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