【摘要】 我们在对骨 X线图像骨小梁纹理进行相干映射增强、经传递函数修正的骨 X线图像二维谱估计以及骨X线图像纹理分形特征分析的基础上 ,提出了用纹理分析对正常的骨结构和中等程度骨质疏松作定量评估。选择骨小梁模式的 3项客观特征组成一个对这两类骨结构自动分类的特征集。这个特征集从 16幅骨 X线图像中提取。在特征空间中利用欧拉范数 ,将获得的每类骨结构的特征集的中心定义为该类骨结构的诊断标准。对每一幅骨 X线图像 ,在特征空间中计算其特征到两个标准的距离来提供对骨质疏松程度的客观评价。利用我们提出的分类标准对 10幅骨 X线图像进行机器分类 ,分类结果表明了本方法有实用的潜在价值 ,并提出了今后建立定量诊断标准的建议更多还原

【Abstract】 A quantitative assessment on osteoporosis by using texture analysis has been developed on the basis of coherence mapping, two dimensional power spectral estimation with modulated transfer function correction and fractal features analysis on trabecular pattern of bone X ray images. Three objective features of trabecular pattern are selected to form a feature set that can be used in automatic classification for two grades of bone:normal bone and the bone with a medium degree of osteoporosis. This set of features is extracted from each of 16 sample bone X ray images. With the use of Euclidean norm in the feature space, a center of cluster of each grade of bone is defined as the prototype. For each bone X ray image, the distance from its features to the two prototypes in feature space is computed to provide an objective judgement on the degree of osteoporosis. The machine classification of 10 bone X ray images based on the developed prototype is given, and the result indicates that the proposed method is potntially applicable to the objective diagnosis of osteoporosis.更多还原