Automated lung segmentation in digitized posteroanterior chest radiographs
Automated lung segmentation in digitized posteroanterior chest radiographs
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DOI：
10.1016/s1076-6332(98)80223-7
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发表时间：
1998-04-01
影响因子：
4.8
通讯作者：
MacMahon, H
中科院分区：
文献类型：
--
作者：
Armato, SG;Giger, ML;MacMahon, H
基本原理和目标。作者开发并测试了一种基于灰度阈值的方法，用于数字化胸部前位片的自动肺分割。材料与方法。最初进行灰度直方图分析，以建立在迭代全局灰度阈值技术中使用的阈值范围。然后对全局阈值的输出进行局部灰度阈值分析。得到的轮廓经过多次平滑处理，包括滚球技术。最后的轮廓非常接近充气肺区域的边界。该方法应用于600张后前胸部图像的数据库。放射科医生用五分制评定轮廓的准确性和完整性。主观评分评价结果表明，该方法是准确的，分配的评分中有79%反映了中等或高度准确的分割，只有8%的评分表明中等或高度不准确的分割。这种基于灰度阈值的方法在数字胸片后前方提供了准确的自动肺分割。
Rationale and Objectives. The authors developed and tested a gray-level thresholding-based approach to automated lung segmentation in digitized posteroanterior chest radiographs.Materials and Methods. Gray-level histogram analysis was initially performed to establish a range of thresholds for use during an iterative global gray-level thresholding technique. Local gray-level threshold analysis was then performed on the output of global thresholding. The resulting contours ware subjected to several smoothing processes, including a rolling-ball technique. The final contours closely approximated the boundaries of the aerated lung regions. The method was applied to a database of 600 posteroanterior chest images. Radiologists rated the accuracy and completeness of the contours with a five-point scale.Results. Results of the subjective rating evaluation indicated that this method was accurate, with 79% Of the assigned ratings reflecting moderately or highly accurate segmentation and only 8% of the ratings indicating moderately or highly inaccurate segmentation.Conclusion. This gray-level thresholding-based approach provides accurate automated lung segmentation in digital posteroanterior chest radiographs.