DocumentCode
3532503
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
fYear
2010
fDate
Oct. 30 2010-Nov. 6 2010
Firstpage
2372
Lastpage
2375
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record (NSS/MIC), 2010 IEEE
Conference_Location
Knoxville, TN
ISSN
1095-7863
Print_ISBN
978-1-4244-9106-3
Type
conf
DOI
10.1109/NSSMIC.2010.5874211
Filename
5874211
Link To Document