Liver tumors segmentation from abdominal CT images using region growing and morphological processing

Abstract

Computer Aided Diagnosis of liver tumors from abdominal Computer Tomography (CT) images requires segmentation of tumor. Automatic segmentation of tumor from CT images is a challenging task due in part to the variation of size, shape, and position of the tumor and on the other part to the presence of other objects with the same intensity in the CT images. Therefore, it is necessary to segment the liver first so that tumor can then be segmented accurately. This paper presents a new method for automatic segmentation of liver and tumor from CT images. The proposed method uses combination of intensity analysis, region-growing and preprocessing steps for automatic segmentation of liver and a second region growing process for tumor segmentation.