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