Katsuragawa S, Doi K, MacMahon H
Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, University of Chicago, Illinois 60637.
Med Phys. 1989 Jan-Feb;16(1):38-44. doi: 10.1118/1.596412.
In order to detect and characterize interstitial disease in the lungs, we are developing an automated method for the determination of physical texture measures, which assess the magnitude and coarseness (or fineness) of lung texture in digital chest radiographs. This method is based on an analysis of the power spectrum of lung texture. We now describe an automated classification method for distinction between normal and abnormal lungs with interstitial disease, in which we employ these texture measures and their data base. This computerized method includes three independent tests, one for a definitely abnormal focal pattern, one for a relatively localized abnormal pattern, and one for a diffuse abnormal pattern. The performance of this computerized classification scheme is compared with that of radiologists by means of receiver operating characteristic (ROC) analysis. Our results indicate that this computerized method can be a valuable aid to radiologists in their assessment of interstitial infiltrates.
为了检测和表征肺部间质性疾病，我们正在开发一种自动方法来测定物理纹理参数，该参数用于评估数字化胸部X光片中肺纹理的大小和粗糙度（或精细度）。此方法基于对肺纹理功率谱的分析。我们现在描述一种用于区分正常肺和患有间质性疾病的异常肺的自动分类方法，其中我们使用这些纹理参数及其数据库。这种计算机化方法包括三个独立测试，一个用于明确异常的局灶性模式，一个用于相对局限的异常模式，另一个用于弥漫性异常模式。通过接受者操作特征（ROC）分析，将这种计算机化分类方案的性能与放射科医生的性能进行比较。我们的结果表明，这种计算机化方法在放射科医生评估间质性浸润方面可以成为一种有价值的辅助手段。
