Digital image processing: principles and applications
Digital image processing: principles and applications
Digital Image Processing
Automatic segmentation of pulmonary structures in chest CT images
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Automatic segmentation and registration of lung surfaces in temporal chest CT scans
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
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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. Scan line search is proposed to track the points on lung contour and find rapidly changing curvature without conventional contour tracking. 2D closing in axial CT slice is applied to reduce the number of rapidly changing curvature points. Finally, to provide consistent appearance between lung contours in neighboring axial slices, 2D closing in coronal CT slice is applied within pre-defined subvolume. Experimental results show that the smoothness of lung contour considerably increased after applying proposed method.