Vasculature segmentation of CT liver images using graph cuts and graph-based analysis

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Volumn , Issue , 2008, Pages 53-56

  Homann, Hanno ^a   Vesom, Grace ^a   Noble, J Alison ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Graph cuts; Liver analysis; Oncology; Vascular segmentation and analysis

Indexed keywords

COMPUTERIZED TOMOGRAPHY; ELECTRIC INSTRUMENT TRANSFORMERS; IMAGE ENHANCEMENT; TECHNICAL PRESENTATIONS; THREE DIMENSIONAL;

GRAPH CUTS; GRAPH-BASED; LIVER ANALYSIS; ONCOLOGY; VASCULAR SEGMENTATION AND ANALYSIS;

LIVER;

EID: 51049122388     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2008.4540930     Document Type: Conference Paper

References (10)

1. 3D segmentation in the clinic: a grand challenge, T Heimann, N Styner, B van Ginneken (Eds), pp 7-15, 2007.
2. Aylward S, Bullitt E, IEEE TMI 21:2:61-75, 2002.
3. Florin C et al, Particle filters, a quasi-monte carlo solution for segmentation of coronaries, MICCAI2005 pp 246-253, 2005.
4. Lorigo LM, et al, CURVES: curve evolution for vessel segmentation, MedIA, 5:3:195-206, 2001.
5. Yan P, Kassim AA, Segmentation of volumetric MRA images using capillary active contour, MedIA, 10:317-329,2006.
6. Soler L, et al, Fully automatic anatomical, pathological and functional segmentation from CT scans for hepatic surgery, Comp. Aid. Surgery 6:131-142, 2001.
7. Selle D, et al, Analysis of vasculature for liver surgical planning, IEEE TMI 21:11:1344-1357, 2002.
8. Boykov Y, Jolly MP, Interactive Graph Cuts for Optimal Boundary & Region Segmentation of Objects in N-D Images, ICCV 1:105-112, 2001.
9. Kolmogorov V, An implementation of the maxflow algorithm, www.adastral.ucl.ac.uk/~vladkolm/software.html
10. Lee TC et al, Building skeleton models via 3-D medical surface/axis thinning algorithms, CVGIP 56:6:462-478, 1994.