肺结节特征提取中的分形方法

Feature Extractor of Solitary Pulmonary Nodules Based on Fractal of Application

强调了分叶与毛刺在肺内孤立小结节良恶性诊断中的重要地位,提出了用方向分形方法对结节内部纹理特征进行分析和提取,并指出原则上可适用于任何形状和纹理的肺结节分析。实验表明,分形特征能有效反映结节的纹理和边缘形状,而多重分形与区决分形相比可以获得更多的特征信息。

Lobulation and Burr play a significant role in distinction between benign and malignant Solitary Pulmonary Nodules diagnosis, And benign and malignant lung nodules differ in lobulated and burr features. In this paper, features of malignant lung nodules are analyzed based on shape of fractal theory. And then Anisotropic Fractal is used to analyze and extract the texture features of lung nodules. This method can compute different dimensions in different directions. The experiment indicates that fractal features are effective in reflecting the texture and edge shape of lung nodules. Further more, more feature information can be gained from multifractal than Isotropic fractal. And this method can be applied to any texture and shape images.