中国医疗设备2016，Vol.31Issue(4)：53-56,4.DOI:10.3969/j.issn.1674-1633.2016.04.011
低剂量数字胸片纹理特征与低密度结节检出相关性的研究
A Research on the Correlation Between Texture Features of Low Dose Digital Radiography and Detection of Low Density Nodules
摘要
Abstract
Objective To explore the quantitative method of analyzing low dose digital radiography by using the image texture features.Methods The texture analysis was performed on 12 different shooting conditions of the same model. For each condition, 3 digital X-ray photography images were taken. The texture feature extractions of the images were based on the gray level statistics, the gray level co-occurrence matrix and the wavelet entropy. Euclidean distance, cosine similarity and correlation coefficient were used respectively to describe the texture feature similarity between the nodules and the backgrounds. According to the similarity indexes, the best shooting condition was determined and consistent with the subjective judgment on shooting conditions of clinical physicians.Results 16 texture features of all nodule regions and background regions were extracted respectively. Euclidean distance, cosine similarity, and Pearson correlation coefifcient consistently demonstrated that 81 kV/1.0 mAs and 81 kV/1.6 mAs were the best shooting conditions, and the evaluation results are basically identical with the doctors’ judgments.Conclusion By using the method of feature similarity calculation, we can select images with the best quality so as to help physicians to analyze the nodules as well as to observe and diagnose the disease.关键词
肺结节/纹理特征/灰度共生矩阵/小波熵/相似度Key words
lung nodule/texture feature/gray level co-occurrence matrix/wavelet entropy/similarity分类
医药卫生引用本文复制引用
罗薇,徐岩,张婷婷,陈卉..低剂量数字胸片纹理特征与低密度结节检出相关性的研究[J].中国医疗设备,2016,31(4):53-56,4.基金项目
首都医科大学基础临床合作研究基金（14JL34）。 （）
