Image feature analysis for computer-aided diagnosis: accurate determination of ribcage boundary in chest radiographs.
Image feature analysis for computer-aided diagnosis: accurate determination of ribcage boundary in chest radiographs.
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DOI：
10.1118/1.597549
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发表时间：
1995-05
期刊：
影响因子：
3.8
通讯作者：
Xin-Wei Xu;K. Doi
中科院分区：
文献类型：
--
作者：
Xin-Wei Xu;K. Doi
一种精确测定胸部图像中胸腔边界的计算机方法已被开发出来，用于计算机辅助诊断（CAD）方案，用于自动检测临床胸部图像中的异常，如肺结节、气胸、间质性疾病、心脏肿大和间期变化。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roi范围内确定上肺边缘和胸廓边缘，搜索roi是在上肺笼和胸廓上选择的。分别应用三个多项式函数得到肺上边缘和左右胸腔边缘的光滑曲线。然后通过平滑连接三条曲线得到完整的胸腔边界。总共有1000 x射线照片被数字化1 k 1 k矩阵大小和一个10位灰度与激光扫描仪和分析的方法。主观评价表明，我们的方法在1000例检查中产生了大约96%的中度至高度准确的结果。
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.