Automatic Liver Segmentation of Contrast Enhanced CT Images Based on Histogram Processing

Conference PaperinLecture Notes in Computer Science · August 2005with9 Reads
Impact Factor: 0.51 · DOI: 10.1007/11539087_135 · Source: DBLP
Conference: Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I


    Pixel values of contrast enhanced computed tomography (CE-CT) images are randomly changed. Also, the middle liver part has
    a problem to segregate the liver structure because of similar gray-level values of neighboring organs in the abdomen. In this
    paper, an automatic liver segmentation method using histogram processing is proposed for overcoming randomness of CE-CT images
    and removing other abdominal organs. Forty CE-CT slices of ten patients were selected to evaluate the proposed method. As
    the evaluation measure, the normalized average area and area error rate were used. From the results of experiments, liver
    segmentation using histogram process has similar performance as the manual method by medical doctor.