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首页> 外文会议>Image Processing pt.3; Progress in Biomedical Optics and Imaging; vol.8,no.31; Proceedings of SPIE-The International Society for Optical Engineering; vol.6512 pt.3 >A Method for Smoothing Segmented Lung Boundary in Chest CT Images
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A Method for Smoothing Segmented Lung Boundary in Chest CT Images

机译：一种平滑胸部CT图像中分割肺边界的方法

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摘要

To segment low density lung regions in chest CT images, most of methods use the difference in gray-level value of pixels. However, radiodense pulmonary vessels and pleural nodules that contact with the surrounding anatomy are often excluded from the segmentation result. To smooth lung boundary segmented by gray-level processing in chest CT images, we propose a new method using scan line search. Our method consists of three main steps. First, lung boundary is extracted by our automatic segmentation method. Second, segmented lung contour is smoothed in each axial CT slice. We propose a scan line search to track the points on lung contour and find rapidly changing curvature efficiently. Finally, to provide consistent appearance between lung contours in adjacent axial slices, 2D closing in coronal plane is applied within pre-defined subvolume. Our method has been applied for performance evaluation with the aspects of visual inspection, accuracy and processing time. The results of our method show that the smoothness of lung contour was considerably increased by compensating for pulmonary vessels and pleural nodules.
机译：为了分割胸部CT图像中的低密度肺区域，大多数方法使用像素灰度值的差异。然而，分割结果通常排除了与周围解剖结构接触的高密度肺血管和胸膜结节。为了使胸部CT图像中的灰度处理平滑化肺部边界，我们提出了一种使用扫描线搜索的新方法。我们的方法包括三个主要步骤。首先，通过我们的自动分割方法提取肺边界。其次，在每个轴向CT切片中平滑分割的肺部轮廓。我们建议使用扫描线搜索来跟踪肺轮廓上的点并有效地找到快速变化的曲率。最后，为了在相邻轴向切片中的肺部轮廓之间提供一致的外观，在预定义的子体积内应用了在冠状平面内的二维闭合。我们的方法已应用于外观检查，准确性和处理时间方面的性能评估。我们的方法的结果表明，通过补偿肺血管和胸膜结节，肺部轮廓的平滑度显着提高。

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