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http://dx.doi.org/10.5909/JBE.2013.18.5.702

Lung and Airway Segmentation using Morphology Information and Spline Interpolation in Lung CT Image  

Cho, Joon-Ho (Wonkwnag University)
Kim, Jung-Chul (Wonkwnag University)
Publication Information
Journal of Broadcast Engineering / v.18, no.5, 2013 , pp. 702-712 More about this Journal
Abstract
In this paper, we proposed an algorithm that extracts the airway and lung without loss of information in spite of the pulmonary vessel and nodules of the chest wall in the chest CT images. We use a mask image in order to improve the performance and to save processing time of airway and lung segmentation. In the second step, by converting left and right lungs to binary image using the morphological information, we have removed the solitary pulmonary nodule to identify the value of the threshold lung and the chest wall. The last step is to connect the outer shell of the lung with cubic Spline interpolation by adding the perfect pixel and computing the distance of the removed part. Experimental results using Matlab verified that the proposed method could overcome the drawbacks of the conventional methods.
Keywords
Chest CT Image; Computer Aided Diagnosis; Image Segmentation; Region Growing; Spline interpolation;
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