Liver segmentation in CT images for intervention using a graph-cut based model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7029 LNCS, Issue , 2012, Pages 157-164

  Chen, Yufei ^a   Zhao, Weidong ^a   Wu, Qidi ^a   Wang, Zhicheng ^a   Hu, Jinyong ^a  

^a TONGJI UNIVERSITY   (China)

Author keywords

graph cut model; liver CT segmentation; prior knowledge

Indexed keywords

BOUNDARY SMOOTHNESS; COMPUTERIZED TOMOGRAPHY IMAGES; CT IMAGE; ENERGY FUNCTIONS; FUZZY SIMILARITY MEASURE; GLOBALOPTIMUM; GRAPH-CUT; LIVER CT; LIVER CT SEGMENTATION; LIVER SEGMENTATION; MAX FLOW ALGORITHM; PRIOR KNOWLEDGE;

FUZZY LOGIC; GRAPHIC METHODS; IMAGE SEGMENTATION; KNOWLEDGE BASED SYSTEMS; OPTIMIZATION;

COMPUTERIZED TOMOGRAPHY;

EID: 84863391057     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-28557-8_20     Document Type: Conference Paper

References (14)

1. Casiraghi, E., Lombardi, G., Pratissoli, S., Rizzi, S.: 3D α-Expansion and Graph Cut Algorithms for Automatic Liver Segmentation from CT Images. In: Apolloni, B., Howlett, R.J., Jain, L. (eds.) KES 2007, Part I. LNCS (LNAI), vol. 4692, pp. 421-428. Springer, Heidelberg (2007)
2. Heimann, T., van Ginneken, B., Styner, M., et al.: Comparison and Evaluation of Methods for Liver Segmentation from CT Datasets. IEEE Trans. Med. Imaging 28, 1251-1265 (2009)
3. Esneault, S., Hraiech, N., Delabrousse, E., Dillenseger, J.L.: Graph Cut Liver Segmentation for Interstitial Ultrasound Therapy. In: IEEE Conference on Engineering in Medicine and Biology Society, pp. 5247-5250. IEEE Press, Lyon (2007)
4. Massoptier, L., Casciaro, S.: Fully Automatic Liver Segmentation through Graph-Cut Technique. In: IEEE Conference on Engineering in Medicine and Biology Society, pp. 5243-5246. IEEE Press, Lyon (2007)
5. Zhang, X., Tian, J., Deng, K., Wu, Y., Li, X.: Automatic Liver Segmentation Using a Statistical Shape Model with Optimal Surface Detection. IEEE Trans. Biomed. Eng. 57, 2622-2626 (2010)
6. Campadelli, P., Casiraghi, E., Esposito, A.: Liver Segmentation from Computed Tomography Scans: a Survey and a New Algorithm. Artificial Intelligence in Medicine 45, 185-196 (2009)
7. Delong, A., Osokin, A., Isack, H.N., Boykov, Y.: Fast Approximate Energy Minimization with Label Costs. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-8. IEEE Press, San Francisco (2010)
8. Chen, Y., Zhao, W., Wang, Z.: Level Set Segmentation Algorithm Based on Image Entropy and Simulated Annealing. In: International Conference on Bioinformatics and Biomedical Engineering, pp. 999-1003. IEEE Press, Wuhan (2007)
9. Stawiaski, J., Decenciere, E., Bidault, F.: Interactive Liver Tumor Segmentation Using Graph-cuts and Watershed. The MIDAS Journal - Grand Challenge Liver Tumor Segmentation, MICCAI Workshop (2008), http://hdl.handle.net/10380/ 1416
10. Boykov, Y., Kolmogorov, V.: Computing Geodesics and Minimal Surfaces via Graph Cuts. In: IEEE International Conference on Computer Vision, pp. 26-33. IEEE Press, Nice (2003)
11. Boykov, Y., Kolmogorov, V.: An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision. IEEE Transactions on Pattern Analysis and Machine Intelligence 26, 1124-1137 (2004)
12. Xu, N., Ahuja, N., Bansal, R.: Object Segmentation Using Graph Cuts Based Active Contours. Computer Vision and Image Understanding 107, 210-224 (2007)
13. Chittajallu, D.R., Brunner, G., Kurkure, U., Yalamanchili, R.P., Kakadiaris, I.A.: Fuzzy-cuts: A Knowledge-Driven Graph-Bases Method for Medical Image Segmentation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 715-722. IEEE Press, Miami (2009)
14. Boykov, Y., Funka-Lea, G.: Graph Cuts and Efficient N-D Image Segmentation. International Journal of Computer Vision 70, 109-131 (2006)