Title | ||
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Liver vessel segmentation and identification based on oriented flux symmetry and graph cuts. |
Abstract | ||
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•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 Zeng | 1 | 18 | 1.73 |
Yu-Qian Zhao | 2 | 92 | 9.98 |
Ping Tang | 3 | 19 | 2.30 |
Miao Liao | 4 | 23 | 3.20 |
Yixiong Liang | 5 | 92 | 9.80 |
Shenghui Liao | 6 | 70 | 14.44 |
Beiji Zou | 7 | 231 | 41.61 |