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Recognition of bronchus in three-dimensional X-ray CT images with applications to virtualized bronchoscopy system

机译:在三维X射线CT图像中识别支气管及其在虚拟支气管镜系统中的应用

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In this paper we present a procedure to extract bronchus area from 3D chest X-ray CT images. Extraction of bronchus from chest X-ray CT images is of critical importance for both the computer aided detection of lung cancer and the virtual bronchoscopy system. This procedure consists of three major steps: 1) calculation of a start point for region growing; 2) determination of the optimum threshold value; and 3) final extraction of bronchus area with the optimum threshold value. The proposed procedure extracts the bronchus area by following the inside points of bronchus. A 3D region growing method, called the 3D painting algorithm, is developed to perform this. The position of a starting point for the 3D painting algorithm is selected in the trachea automatically by using the shape features of trachea. Also this procedure can search the optimum threshold value by using the information of bronchus shape. We applied this method to real three dimensional X-ray CT images and confirmed that it worked satisfactorily.
机译:在本文中,我们提出了一种从3D胸部X射线CT图像中提取支气管区域的程序。从胸部X射线CT图像中提取支气管对于计算机辅助检测肺癌和虚拟支气管镜检查系统都至关重要。该过程包括三个主要步骤:1)计算区域增长的起点; 2)确定最佳阈值; 3)以最佳阈值最终提取支气管区域。拟议的程序通过跟踪支气管的内部点来提取支气管区域。为此,开发了一种称为3D绘画算法的3D区域生长方法。通过使用气管的形状特征,可以自动在气管中选择3D绘画算法的起点位置。该程序还可以通过使用支气管形状信息来搜索最佳阈值。我们将该方法应用于真实的三维X射线CT图像,并确认它可以令人满意地工作。

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