DocumentCode :
1622200
Title :
Segmentation of the liver in CT images using pseudocolorization and labeling methods
Author :
Hwang, Kyung-Hoon ; Jung, Jin-Woo
Author_Institution :
Dept. of Comput. Sci. & Eng., Dongguk Univ., Seoul, South Korea
fYear :
2009
Firstpage :
2170
Lastpage :
2174
Abstract :
The fast segmentation of the liver in the CT images is the important but difficult procedure for subsequent image processing and analysis. We applied the pseudocolorization and connected component labeling methods to segment the upper dome area of the liver in the transverse CT slice images. Arterial phase transverse CT slice images including the upper dome area of the liver was used for segmentation by the methods. The original transverse slice CT images were pseudocolorized and the color component images including the liver were separated. And the connected component labeling algorithm was performed and the upper dome area of the liver was segmented. The segmentation of the remaining portion of the liver in the neighboring CT slice images can be done effectively with active contouring or region growing with interslice reference to the previously segmented liver CT image.
Keywords :
computerised tomography; image colour analysis; image segmentation; liver; medical image processing; arterial phase CT image; color component image; labeling method; liver segmentation; pseudocolorization method; transverse CT slice image; Cancer detection; Color; Computed tomography; Computer science; Image analysis; Image processing; Image segmentation; Labeling; Liver neoplasms; Public healthcare;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location :
Jeju Island
ISSN :
1098-7584
Print_ISBN :
978-1-4244-3596-8
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2009.5277071
Filename :
5277071
Link To Document :
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