Extracting the Liver and Tumor from Abdominal CT Images

Abstract

Medical imaging and computer aided diagnosis traditionally focus on organ or disease based applications. CAD is used by radiologists as a second opinion in detecting tumors, accessing the extent of diseases and making diagnostic decision. Automatic segmentation of tumor from CT images is difficult due to size, shape, position and presence of other objects with the same intensity present in the image. Therefore, first segment the liver so that tumor can then be segmented accurately from it. In this paper, an approach for segmentation of liver and tumor from CT Images is mainly used for computer aided diagnosis of liver is proposed. The method uses region growing with optimized threshold algorithm. The liver is segmented using region growing method that starts from a seed point automatically detected and efficiently close around the vessels and tumors.