Title :
Research on Segmentation Method of Multi-Region Liver Image
Author :
Jiang, Huiyan ; Fujita, Hiroshi
Author_Institution :
Comput. Center, Northeastern Univ., Shenyang
Abstract :
A new segmentation method of multi-region liver image is suggested in this paper. In the new method, the aorta was segmented based on improved Ostu algorithm and its shape characteristic, and then the liver image in single regions was segmented based on the position of aorta, region growth method of multi-seed voting mechanism and self-adaptive adjusting threshold. Finally, multi-region liver images were carried out by extracting candidate region of liver based on its grey scale and position, and matching and merging the segmented liver regions. The new method was applied to the actual 30 pieces MRI and shows its availability to multi-region segmentation of liver images
Keywords :
image segmentation; liver; medical image processing; Ostu algorithm; aorta; computer-aided diagnosis; medical image; multiregion liver image segmentation; multiseed voting mechanism; self-adaptive adjusting threshold; Biomedical imaging; Computer aided diagnosis; Image segmentation; Intelligent control; Liver; Magnetic resonance imaging; Medical diagnostic imaging; Merging; Shape; Voting; computer-aided diagnosis; image segmentation; liver image in multi-region; medical image; region growth method;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713952
