Automated Lung Nodule Detection Method for Surgical Preplanning

Abstract

This paper is to develop a segmentation system in order to assist the surgeons for the treatment of certain illness such as lung cancer, and tumours.Lung cancer is one of the most frequently occurring cancer and it has a very low survival .Computer Aided Diagnosis (CAD) helps reducing the burden of radiation and improving the accuracy of abnormality detection during CT image interpretation. The fissures of lung lobes are difficult to see by our naked eyes in low dose CT image because low resolution scanners are used.This is an automatic segmentation system. The lung lobes and nodules in CT image are segmented using adaptive fissure sweep and adaptive thresholding. Firstly noise removal of CT image using filter is done, then the fissure regions are located using adaptive fissure sweep technique.Nodules are present in the fissures region.Oblique fissures are refined by region growing method. Lung Nodules are segmented using thresholding.