8 March 2007 A method for smoothing segmented lung boundary in chest CT images
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Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 65123G (2007); doi: 10.1117/12.710273
Event: Medical Imaging, 2007, San Diego, CA, United States
Abstract
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.
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Yeny Yim, Helen Hong, "A method for smoothing segmented lung boundary in chest CT images", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65123G (8 March 2007); doi: 10.1117/12.710273; https://doi.org/10.1117/12.710273
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KEYWORDS
Lung

Image segmentation

Computed tomography

Chest

Image processing

3D image processing

Detection and tracking algorithms

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