A novel shape prior based level set method for liver segmentation from MR images

5th Int. Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd Int. Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008

Volumn , Issue , 2008, Pages 144-147

  Kan, Cheng ^a   Lixu, Gu ^a   Jianrong, Xu ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b SHANGHAI JIAO TONG UNIVERSITY SCHOOL OF MEDICINE   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE CONTOURS; INTERNATIONAL CONFERENCES; INTERNATIONAL SYMPOSIUM; LEVEL SET METHODS; LEVEL SETS; LEVEL-SET METHOD; LIVER BOUNDARY; LIVER PERFUSION; LIVER SEGMENTATION; MR IMAGING; OVER-SEGMENTATION; PRIOR KNOWLEDGE; SUMMER SCHOOLS; TRAINING PROCESSES; VARIATION AL APPROACH;

DROP BREAKUP; EVOLUTIONARY ALGORITHMS; GRADIENT METHODS; IMAGE SEGMENTATION; INFORMATION TECHNOLOGY; LEVEL MEASUREMENT; STATISTICAL METHODS; TECHNOLOGY;

LIVER;

EID: 51849150435     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITAB.2008.4570544     Document Type: Conference Paper

References (9)

1. T. Chan and L. Vese: Active contours without edges. IEEE Transaction on Image Processing, 10(2):266-277 (2001).
2. S. Osher, J. A. Sethian: Fronts propagating with curvature dependent speed: algorithms based on Hamilton-Jacobi formulations, J. Comp. Phys., vol. 79, pp. 1.2-49 (1988).
3. D. Mumford and J. Shah: Optimal approximation, by piecewise smooth functions and associated variational problems. Comm. Pure Appl. Math., 42:577-685 (1989).
4. J. Morel and S. Solimini: Variational methods in image segmentation. Birkhauser, Boston (1995).
5. M. Kass, A.Witkin, and D. Terzopoulos: Snakes: active contourmodels, Int'l J. Comp. Vis., vol. 1, pp. 321-331 (1987).
6. D.Cremers, F. Tischhauser, J.Weickert, and C. Schnorr: Diffusion snakes: introducing statistical shape knowledge into the mumford-shah functional. Int. J. of Computer Vision, 50(3):295-31.3 (2002).
7. D. Cremers, N. Soeben, and C. Schnorr: Towards recognition-based variational segmentation using shape priors and dynamic labeling. In L. Griffith, editor, Int. Conf. on Scale Space Theories in Computer Vsion, volume 2695 of LNCS:388-400, Isle of Skye (2003).
8. Dorin Comaniciu, Peter Meer: Mean Shift: a robust approach toward feature space analysis (2002)
9. Tony Chan, Wei Zhu: Level Set Based Shape Prior Segmentation, Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume2-Volume02 (2005)