Title
Liver vessel segmentation and identification based on oriented flux symmetry and graph cuts.
Abstract
•The combination of optimal oriented flux and oriented flux antisymmetry measures is used to yield slenderized vessels.•A thin-vessel centerline extraction method is proposed based on height ridge traversal and leaf node line-growing.•Our method can effectively extract thin vessels.•Our method can identify hepatic vein and portal vein.
Year
DOI
Venue
2017
10.1016/j.cmpb.2017.07.002
Computer Methods and Programs in Biomedicine
Keywords
Field
DocType
Liver vessel segmentation,Optimal oriented flux (OOF),Oriented flux antisymmetry (OFA),Height ridge traversal,Leaf node line-growing (LNLG),Graph cuts
Cut,Computer vision,Tree traversal,Computer science,Fast marching method,Segmentation,Tree (data structure),Tomography,Flux,Artificial intelligence,Angiography
Journal
Volume
Issue
ISSN
150
C
0169-2607
Citations 
PageRank 
References 
7
0.46
17
Authors
7
Name
Order
Citations
PageRank
Ye-zhan Zeng1181.73
Yu-Qian Zhao2929.98
Ping Tang3192.30
Miao Liao4233.20
Yixiong Liang5929.80
Shenghui Liao67014.44
Beiji Zou723141.61