DocumentCode :
2977998
Title :
A vessel segmentation method based on tubular structure for Calot arteries
Author :
Yong-Feng Huang ; Xiao Ma ; Jia-Yong Yan ; Jin-Dong Xia ; Jia Yang
Author_Institution :
Sch. of Comput. Sci. & Technol., Donghua Univ., Shanghai, China
fYear :
2012
fDate :
17-19 Dec. 2012
Firstpage :
165
Lastpage :
168
Abstract :
Calot arteries visualization can lower down the risk of Laparoscopic Cholecystectomy. Visualization needs accurate segmentation of Calot arteries, including cystic artery and its adjacent arteries from CTA images. But tenuous cystic artery shows low intensity in CTA images and has complicated background, making the segmentation work difficult. A 3D region growing method based on tubular structure is proposed to segment those vessels. It was verified on clinical CTA images. The experimental results show that this method can effectively segment Calot arteries, providing reliable data to visualize Calot arteries.
Keywords :
biological organs; blood vessels; computerised tomography; diagnostic radiography; image segmentation; medical image processing; surgery; 3D region growing method; Calot arteries visualization; clinical CT imaging; cystic artery; laparoscopic cholecystectomy; reliable data; segmentation work; tenuous cystic artery; tubular structure; vessel segmentation method; Abstracts; Arteries; Biomedical imaging; Computed tomography; Image segmentation; Laparoscopes; Calot; Cystic Artery; Region Growing; Tubular Structure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Active Media Technology and Information Processing (ICWAMTIP), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-1684-2
Type :
conf
DOI :
10.1109/ICWAMTIP.2012.6413465
Filename :
6413465
Link To Document :
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