Xu X W, Doi K
Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, University of Chicago, Illinois 60637, USA.
Med Phys. 1995 May;22(5):617-26. doi: 10.1118/1.597549.
A computerized method for accurate determination of the ribcage boundary in chest images has been developed for use in computer-aided diagnosis (CAD) schemes for automated detection of abnormalities such as the pulmonary lung nodules, pneumothorax, interstitial disease, cardiomegaly, and interval changes in clinical chest images. With our method, the average position of the top of the lung in the chest image is determined first. Top lung edges and ribcage edges are determined within search ROIs, which are selected over top lung cages and ribcages. Three polynomial functions are applied separately to yield smooth curves for top lung edges and right and left ribcage edges. The complete ribcage boundary is then obtained by smoothly connecting three curves. A total of 1000 radiographs were digitized to 1k x 1k matrix size and a 10-bit gray scale with a laser scanner and analyzed by our method. The subjective evaluation indicated that our method produced moderately to highly accurate results in approximately 96% of the 1000 cases examined.
一种用于精确确定胸部图像中胸腔边界的计算机化方法已被开发出来，用于计算机辅助诊断（CAD）方案，以自动检测诸如肺结节、气胸、间质性疾病、心脏肥大以及临床胸部图像中的间隔变化等异常情况。使用我们的方法，首先确定胸部图像中肺顶部的平均位置。在搜索感兴趣区域（ROIs）内确定肺顶边缘和胸腔边缘，这些区域是在肺顶和胸腔上选择的。分别应用三个多项式函数来生成肺顶边缘以及左右胸腔边缘的平滑曲线。然后通过平滑连接这三条曲线获得完整的胸腔边界。总共1000张X光片通过激光扫描仪数字化为1k x 1k矩阵大小和10位灰度，并采用我们的方法进行分析。主观评估表明，在检查的1000个病例中，约96%的病例使用我们的方法产生了中等至高度准确的结果。
