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Proceedings Paper

A method for smoothing segmented lung boundary in chest CT images
Author(s): Yeny Yim; Helen Hong
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Paper 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.

Paper Details

Date Published: 8 March 2007
PDF: 7 pages
Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65123G (8 March 2007); doi: 10.1117/12.710273
Show Author Affiliations
Yeny Yim, Seoul National Univ. (South Korea)
Helen Hong, Seoul Women's Univ. (South Korea)


Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)

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