Automatic Segmentation of the Lungs for CAD System in CT Images based on Active Contour Method

In this paper an automatic computer-aided (CAD) method is utilized for lung segmentation using computed tomography (CT) images. We segmented lung regions - based on the CT data- with nodules attached to the chest wall by using active contour modeling. This method is made up of tree steps: In the first step, an adaptive fuzzy thresholding operation is used to binarize the CT images; in the second step the initial mask of lung is prepared applying the first CT image; in the third step, the lung with non-isolated nodules is segmented applying active contour method. The experimental results show an accuracy of 96% by our method without performance other exiting methods.

Keywords:

component , lung nodule , segmentation , active contour , initial mask