Segmentation of the liver in CT images using pseudocolorization and labeling methods

Kyung Hoon Hwang, Jin Woo Jung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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 transeverse CT slice images. Arterial phase transeverse 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.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Fuzzy Systems - Proceedings
Pages2170-2174
Number of pages5
DOIs
StatePublished - 2009
Event2009 IEEE International Conference on Fuzzy Systems - Jeju Island, Korea, Republic of
Duration: 20 Aug 200924 Aug 2009

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Conference

Conference2009 IEEE International Conference on Fuzzy Systems
Country/TerritoryKorea, Republic of
CityJeju Island
Period20/08/0924/08/09

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