Efficient liver segmentation using a level-set method with optimal detection of the initial liver boundary from level-set speed images

Computer Methods and Programs in Biomedicine

Volumn 88, Issue 1, 2007, Pages 26-38

  Lee, Jeongjin ^a   Kim, Namkug ^b   Lee, Ho ^a   Seo, Joon Beom ^b   Won, Hyung Jin ^b   Shin, Yong Moon ^b   Shin, Yeong Gil ^a   Kim, Soo Hong ^c  

^a Seoul National University   (South Korea)

^b University of Ulsan College of Medicine   (South Korea)

^c Sangmyung University   (South Korea)

Author keywords

Level set method; Liver segmentation; Seeded region growing; Shape propagation; Speed image

Indexed keywords

ALGORITHMS; BIOLOGICAL ORGANS; COMPUTATIONAL EFFICIENCY; COMPUTERIZED TOMOGRAPHY; OPTIMIZATION; TISSUE;

GRADIENT INFORMATION; INTENSITY DISTRIBUTIONS; LEVEL-SET METHOD; LIVER SEGMENTATION; SEEDED REGION GROWING (SRG); SPEED IMAGE;

BIOMEDICAL ENGINEERING;

ABDOMINAL RADIOGRAPHY; ACCURACY; ALGORITHM; ANALYTICAL ERROR; ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTRAST ENHANCEMENT; IMAGING SYSTEM; INTERMETHOD COMPARISON; LIVER GRAFT; LIVER STRUCTURE; VALIDATION PROCESS;

ALGORITHMS; COMPUTER SIMULATION; CONTRAST MEDIA; HUMANS; IMAGE ENHANCEMENT; LIVER; LIVER DISEASES; LIVER NEOPLASMS; LIVER TRANSPLANTATION; PATTERN RECOGNITION, AUTOMATED; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, EMISSION-COMPUTED;

EID: 34548354952     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2007.07.005     Document Type: Article

References (31)

1. Horton K.M., Bluemke D.A., Hruban R.H., Soyer P., and Fishman E.K. CT and MR imaging of benign hepatic and biliary tumors. RadioGraphics 19 (1999) 431-451
2. Mortele K.J., and Ros P.R. Cystic focal liver lesions in the adult: differential CT and MR imaging features. RadioGraphics 21 (2001) 895-910
3. Masutani Y., Uozumi K., Akahane M., and Ohtomo K. Liver CT image processing: a short introduction of the technical elements. Eur. J. Radiol. 58 2 (2006) 246-251
4. Lim S.J., Jeong Y.Y., Lee C.W., and Ho Y.S. Automatic segmentation of the liver in CT images using the watershed algorithm based on morphological filtering. Proceedings of SPIE Medical Imaging: Image Processing 5370 (2004) 1658-1666
5. Lim S.J., Jeong Y.Y., and Ho Y.S. Automatic liver segmentation for volume measurement in CT images. J. Visual Commun. Image Represent. 17 4 (2006) 860-875
6. Saitoh T., Tamura Y., and Kaneko T. Automatic segmentation of liver region through blood vessels on multi-phase CT. Proceedings of the 16th International Conference on Pattern Recognition (2002) 735-738
7. Bae K.T., Giger M.L., Chen C.T., and Kahn C.E. Automatic segmentation of liver structure in CT Images. Med. Phys. 20 1 (1993) 71-78
8. Schenk A., Prause G., and Peitgen H.O. Efficient semiautomatic segmentation of 3D objects in medical images. Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention (2000) 186-195
9. Mortensen E.N., Morse B.S., Barrett W.A., and Udupa J.K. Adaptive boundary detection using live-wire two-dimensional dynamic programming. Proceedings of Computers in Cardiology (1992) 635-638
10. Pan S., and Dawant B.M. Automatic 3D segmentation of the liver from abdominal CT images: a level-set approach. Proceedings of SPIE Medical Imaging: Image Processing 4322 (2001) 128-138
11. Gao L., Heath D.G., Kuszyk B.S., and Fishman E.K. Automatic liver segmentation technique for three-dimensional visualization of CT data. Radiology 201 (1996) 359-364
12. Gao J., Kosaka A., and Kak A. A deformable model for automatic CT liver extraction. Acad. Radiol. 12 9 (2005) 1178-1189
13. Rahardja K., and Kosaka A. Vision-based bin picking: recognition and localization of multiple complex objects using simple visual cues. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (1996) 1448-1457
14. Chen E.L., Chung P.C., Chen C.L., Tsai H.M., and Chang C.I. An automatic diagnostic system for CT liver image classification. IEEE Trans. Biomed. Eng. 45 6 (2002) 783-794
15. Masutani Y. RBF-based representation of volumetric data: application in visualization and segmentation. Proceedings of the Fifth International Conference on Medical Image Computing and Computer-Assisted Intervention (2002) 300-307
16. Lamecker H., Lange T., and Seebass M. Automatic segmentation of the liver for preoperative planning of resections. Stud. Health Technol. Inform. 94 (2003) 171-173
17. H. Lamecker, T. Lange, M. Seebass, Segmentation of the liver using a 3D statistical shape model, ZIB-Report 04-09 (2004) 1-25.
18. Osher S., and Sethian J. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations. J. Comput. Phys. 79 (1998) 12-49
19. Sethian J.A. Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science. 1st ed. (1999), Cambridge University Press, New York
20. Malladi R., Sethian J.A., and Vemuri B.C. Shape modeling with front propagation: a level set approach. IEEE Trans. Pattern Anal. Mach. Intell. 17 2 (1995) 158-175
21. Caselles V., Kimmel R., and Sapiro G. Geodesic active contours. Int. J. Comput. Vision 22 1 (1997) 61-97
22. Lefohn A.E., Kniss J.M., Hansen C.D., and Whitaker R.T. A streaming narrow-band algorithm: interactive computation and visualization of level sets. IEEE Trans. Vis. Comput. Graph 10 4 (2004) 422-433
23. Whitaker R.T., and Xue X. Variable-conductance, level-set curvature for image denoising. IEEE Proc. Int. Conf. Image Process. 3 (2001) 142-145
24. Perona P., and Malik J. Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach Intell. 12 (1990) 629-639
25. Hong H., Lee J., Yim Y., and Shin Y.G. Automatic segmentation and registration of lung surfaces in temporal chest CT scans. Lect. Notes Comp. Sci. 3523 (2005) 463-470
26. Armato S.G., Giger M.L., Moran C.J., MacMahon H., and Doi K. Automated detection of pulmonary nodules in helical computed tomography images of the thorax. Proceedings of SPIE Medical Imaging: Image Processing 3338 (1998) 916-919
27. Armato S.G., Giger M.L., Moran C.J., and MacMahon H. Automated lung segmentation in digitized posteroanterior chest radiographs. Acad. Radiol. 5 4 (1998) 245-255
28. Chang F., Chen C.J., and Lu C.J. A linear-time component-labeling algorithm using contour tracing technique. Comp. Vis. Image Understand. 93 2 (2004) 206-220
29. Zijdenbos A.P., Dawant B.M., Margolin R.A., and Palmer A.C. Morphometric analysis of white matter lesions in MR images: method and validation. IEEE Trans. Med. Imag. 13 4 (1994) 716-724
30. Chalana V., and Yongmin Kim. A methodology for evaluation of boundary detection algorithms on medical images. IEEE Trans. Med. Imag. 16 5 (1997) 642-652
31. Raya S.P., and Udupa J.K. Shape-based interpolation of multidimensional objects. IEEE Trans. Med. Imag. 9 1 (1990) 32-42