Lung Lobe Segmentation in CT Image

The accurate identification of the fissures is of increasing importance in the early detection of pathologies. This paper developed an automatic method for the segmentation and analysis of the fissures, based on the information provided by the segmentation. The information is used to provide a close initial approximation to the fissures, using a watershed transform. In refinement step, the estimate is used to construct a Region of Interest (ROI) encompassing the fissures. The ROI is enhanced using a ridgeness measure, which is followed by a 3D graph search to find the optimal surface within the ROI.