Title :
Segmentation of abnormal liver using adaptive threshold in abdominal CT images
Author :
Seong, Won ; Kim, Jea Hee ; Kim, Eui Jeong ; Park, Jong Won
Author_Institution :
Dept. of Inf. & Commun. Eng., Chungnam Nat. Univ., Daejeon, South Korea
fDate :
Oct. 30 2010-Nov. 6 2010
Abstract :
It is easy to segment the liver with existing methods using both basic place information (the liver exists on the left of the abdominal CT image) and distribution information of regular gray values. However, the existing methods can not be used for segmenting an abnormal liver. Because the gray values of lesions do not show the original gray values of the liver, lesion parts of the abnormal liver are not regarded as the liver in the existing methods. In this study, we use the adaptive threshold in each slice and the angle line method for the segmentation of the abnormal liver in abdominal CT images.
Keywords :
computerised tomography; image segmentation; liver; medical image processing; abdominal CT images; abnormal liver; adaptive threshold; distribution information; image segmentation; lesions; place information; regular gray values; Cancer; Computed tomography; Image segmentation; Lesions; Liver; Pixel; Shape;
Conference_Titel :
Nuclear Science Symposium Conference Record (NSS/MIC), 2010 IEEE
Conference_Location :
Knoxville, TN
Print_ISBN :
978-1-4244-9106-3
DOI :
10.1109/NSSMIC.2010.5874211