A Method for Extraction of Bronchuns Regions from 3D Chest X-ray CT Images by Analyzing Structural Features of the Bronchus
A Method for Extraction of Bronchuns Regions from 3D Chest X-ray CT Images by Analyzing Structural Features of the Bronchus
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一种通过分析支气管结构特征从 3D 胸部 X 射线 CT 图像中提取支气管区域的方法
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发表时间：
2002
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通讯作者：
Toriwaki Junichiro
中科院分区：
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作者：
T. Kitasaka;K. Mori;Hasegawa Jun;Toriwaki Junichiro
通过分析支气管的结构特征，一种从胸部三维X射线CT图像中提取支气管区域的方法已经被开发出来。该方法通过锐化操作增强支气管壁，并通过识别从气管开始的树形结构来分割每个支气管分支。它利用感兴趣区域（VOI）来分割每个分支，也就是说，放置VOI以包围当前正在处理的分支。区域生长仅在VOI内部进行，以便通过合适的阈值提取每个分支。最终的支气管区域是通过合并提取的分支得到的。这种新方法应用于三个胸部三维X射线CT图像的案例。实验结果表明，与之前的方法相比，该方法显著提高了提取精度；也就是说，对于4级支气管，分割的平均准确率为82%，对于5级支气管为49%，对于6级支气管为20%，而之前使用恒定阈值的区域生长方法的准确率分别为45%、16%和3%。
A method for extraction of bronchus regions from 3D chest X-ray CT images— by analyzing structural features of the bronchus—has been developed. This method enhances the bronchial walls by applying a sharpening operation and segments each bronchial branch by recognizing the tree structure from the trachea. It uses the volume of interest (VOI) to segment each branch. That is, the VOI is placed so as to envelope the branch currently being processed. The region growing is performed only inside the VOI so that each branch is extracted by a suitable threshold value. The final bronchus region is obtained by unifying the extracted branches. The new method was applied to three cases of 3D chest X-ray CT images. The experimental results showed that the method improved the extraction accuracy significantly compared to the previous method; that is, the average accuracy of segmentation was 82% for 4th-order, 49% for 5th-order, and 20% for 6th-order bronchi, compared to 45%, 16% and 3% by the previous method using the region-growing method with the constant threshold value.