关键词: 肺部节结, 特征提取, 计算机辅助诊断, 图像序列, 胸部CT图像, 支持向量机

Abstract: Concerning the limitation of using single CT image to detect the lung nodule, short image series consisting of a few sequential CT image was used in nodule's auto-detection in this paper. Meanwhile, the image corresponding to the Region of Interest (ROI) was taken as a surface of some 2-d function. Then the new features, different from traditional image region features, were extracted, which depicted the surface's shape and its variances in short image series. At last, the effectiveness of the extracted features is proved by using the Support Vector Machine (SVM).

Key words: pulmonary nodule, feature extraction, computer-aided diagnosis (CAD), image series, chest CT images, support vector machine (SVM)