DocumentCode :
1726192
Title :
Liver segmentation from 3D abdominal CT images
Author :
Pham The Bao ; Tran Hong Tai ; Viet-Hang Duong ; Jia-Ching Wang
Author_Institution :
Fac. of Math. & Comput. Sci., Univ. of Sci., Ho Chi Minh City, Vietnam
fYear :
2015
Firstpage :
342
Lastpage :
343
Abstract :
Segmentation of the whole liver region from computed tomography (CT) image is the first step in the computer-aided diagnosis for liver disease. In this paper, we propose a new method for segmenting liver region from 3D CT images of abdomen using enhanced Otsu method. Our algorithm uses Otsu method with some improvements to construct intensity model and shape model for liver. First, the 3D CT image of abdomen is cropped, preserving only the part that contains liver. Second, the liver region in each slice of preserved part is segmented using intensity model. Finally, the segmented liver regions from all slices are post-processed to increase performance and merged into a single liver region.
Keywords :
computerised tomography; diseases; image segmentation; liver; medical image processing; shape recognition; 3D abdominal CT images; Otsu method; computed tomography image; computer-aided diagnosis; intensity model; liver disease; liver region segmentation; shape model; Abdomen; Computed tomography; Computer science; Histograms; Image segmentation; Liver; Three-dimensional displays; 3D abdominal CT image; Medical image processing; Otsu method; liver segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on
Conference_Location :
Taipei
Type :
conf
DOI :
10.1109/ICCE-TW.2015.7216933
Filename :
7216933
Link To Document :
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