Fully automatic liver segmentation through graph-cut technique

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 5243-5246

  Massoptier, Laurent ^a   Casciaro, Sergio ^a  

^a INSTITUTE OF CLINICAL PHYSIOLOGY   (Italy)

Author keywords

Automatic segmentation; Graph cut; Liver

Indexed keywords

BLOOD VESSELS; COMPUTATIONAL GEOMETRY; DATABASE SYSTEMS; GRAPH THEORY; RADIOTHERAPY;

AUTOMATIC SEGMENTATION; GRAPH-CUT; LIVERS;

BIOLOGICAL ORGANS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGE ENHANCEMENT; LIVER; LIVER TUMOR; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIVER; LIVER NEOPLASMS; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 57649149659     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353524     Document Type: Conference Paper

References (21)

1. WHO (2002). The World Health Report. World Health Organization. ISBN 92 4 156265 X. Available: http://www.who.int/whr/2002/en
2. W.D. Foley, "Liver: surgical planning", in European Radiology, vol. 15(suppl. 4), pp. D89-D95, Nov. 2005.
3. S. Cooper and R. Dawber, "The history of cryosurgery", in JR Soc Med, vol. 94, pp. 196-201, Apr. 2001.
4. E. Felekouras, et al., "Laparoscopic liver resection using radio frequency ablation in a porcine model", in Surg Endose, vol. 19(9), pp. 1237-1242, Sep. 2005.
5. A.U. Hines-Peralta, N. Pirani, P. Clegg, N. Cronin, T.P. Ryan, Z. Liu, and S.N. Goldberg, "Microwave ablation: results with a 2.45-GHz applicator in ex vivo bovine and in vivo porcine liver", in Radiology, vol. 239 (1), pp. 94-102, Apr. 2006.
6. J.-B. Fasquel, V. Agnus, J. Moreau, L. Soler, and J. Marescaux, "An interactive medical image segmentation system based on the optimal management of regions of interest using topological medical knowledge", in Comput Methods Programs Biomed, vol. 82(3), pp. 213-230, Jun. 2006.
7. H.-P. Meinzer, M. Thorn, and CE. Cardenas, "Computerized planning of liver surgery - an overview", in Comput. Graphics, vol. 26(4), pp. 569-576, Aug. 2002.
8. V. Sojar, D. Stanisavljev, M. Hribernik, M. Glui, D. Kreuh, U. Velkavrh, and T. Fius, "Liver surgery training and planning in 3D virtual space", in Proc. 18th Int. Congress Compuer Assited Radiology and Surgery, Chicago, pp. 390-394, June 2004.
9. T. Saitoh, Y. Tamura, and T. Kaneko, "Automatic Segmentation of Liver Region Based on Extracted Blood Vessels", in Syst Comput Japan, vol. 35(5), pp. 633-641, May 2004.
10. H.C. van Assen, M.G. Danilouchkine, A.F. Frangi, S. Ordas, J.J. Westenberg, J.H. Reiber, and B.P. Lelieveldt, "SPASM: a 3D-ASM for segmentation of sparse and arbitrarily oriented cardiac MRI data", in Med Image Anal, vol. 10(2), pp. 286-303, Apr. 2006.
11. H. Lamecker, T. Lange, M. Seebass, S. Eulenstein, M. Westerhoff, and H.C. Hege, "Automatic segmentation of the liver for preoperative planning of resections", in Stud Health Technol Inform, vol. 94, pp. 171-173, Jan. 2003.
12. L. Soler, et al., "Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery", in Comput Aided Surg, vol. 6(3), pp. 131-142, Oct. 2001
13. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active Shape Models", in Int J Comput Vision, vol. 1, pp. 321-331, 1987.
14. M. Malladi, J.A. Sethian, and B.C. Vemuri, "Shape modeling with front propagation: a level set approach", in IEEE Trans Pattern Anal Mach Intell, vol. 17(2), pp. 158-175, Feb. 1995.
15. S. Casciaro, L. Massoptier, E. Samset, E. Casciaro, and A. Distante, "A method for fast and automatic segmentation of soft organs from CT and MR images", in Proc. 20th Int. Congress Computer Assisted Radiology and Surgery, Osaka, pp. 470-471, June 2006.
16. L. Massoptier, and S. Casciaro, "Segmentation of liver anatomy and pathology", in Novel Technologies for Minimally Invasive Therapies, S. Casciaro and E. Samset, Lupiensis Biomedical Publications, pp. 57-66, 2007.
17. Y. Boykov, and G. Funka-Lea, "Graph Cuts and Efficient N-D Image Segmentation", in International Journal of Computer Vision, vol. 70(2), pp. 109-131, Nov. 2006.
18. D. Comaniciu, and P. Meer, "Mean shift: a robust approach toward feature space analysis", in IEEE Trans Pattern Anal Mach Intell, vol. 24(5), pp. 603-619, May 2002.
19. Y. Boykov, and V. Kolmogorov, "An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision", in IEEE Trans Pattern Anal Mach Intell, vol. 26(9), pp. 1124-1137, Sept. 2004.
20. J.K. Udupa, V.R. Leblanc, Y. Zhuge, C Imielinska, H. Schmidt, L.M. Currie, B.E. Hirsch, and J. Woodburn, "A framework for evaluating image segmentation algorithms", in Comput Med Imaging Graph, vol. 30(2), pp. 75-87, Mar. 2006.
21. L.H. Oliver, R. S. Poulsen, G.T. Toussaint, "Estimating false positive and false negative error rates in cervical cell classification", in J Histochem Cytochem, vol. 25(7), pp. 696-701, Jul. 1977.