Unifying statistical classification and geodesic active regions for segmentation of cardiac MRI

IEEE Transactions on Information Technology in Biomedicine

Volumn 12, Issue 3, 2008, Pages 328-334

  Folkesson, Folkesson J ^a,b   Samset, Eigil ^c   Kwong, Raymond Y ^c   Westin, Carl Fredrik ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

^c BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Cardiac magnetic resonance imaging; Geodesic active regions; Image segmentation; k NN classification

Indexed keywords

CARDIOLOGY; FEATURE EXTRACTION; IMAGE CLASSIFICATION; IMAGE SEGMENTATION; PROBABILITY;

CARDIAC MAGNETIC RESONANCE IMAGING; GEODESIC ACTIVE REGIONS; STATISTICAL CLASSIFIER;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HEART; HISTOLOGY; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HEART; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 44449176660     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2007.912179     Document Type: Article

References (32)

1. D. Zipes and H. Wellens, "Sudden cardiac death," Circulation, vol. 98, pp. 2334-2351, 1998.
2. K. Soejima, W. Stevenson, W. Maisel, J. Sapp, and L. Epstein, "Electrically unexcitable scar mapping based on pacing threshold for identification of reentry circuit isthmus," Circulation, vol. 106, pp. 1678-83, 2002.
3. R. Y. Kwong, A. K. Chan, K. A. Brown, C. W. Chan, H. G. Reynolds, S. Tsang, and R. B. Davis, "Impact of unrecognized myocardial scar detected by cardiac magnetic resonance imaging on event-free survival in patients presenting with signs or symptoms of coronary artery disease," Circulation, vol. 113, pp. 2733-2743, 2006.
4. R. M. Setser, D. G. Bexell, T. P. O'Donnell, A. E. Stillman, M. L. Lieber, P. Schoenhagen, and R. D. White, "Quantitative assessment of myocardial scar in delayed enhanced magnetic resonance imaging," J Magn. Resonance Imag., vol. 18, pp. 434-441, 2003.
5. S. K. Warfield, M. Kaus, F. A. Jolesz, and R. Kikinis, "Adaptive, template moderated, spatially varying statistical classification," Med. Image Anal., vol. 4, pp. 43-55, 2000.
6. S. Osher and J. Sethian, "Fronts propagating with curvature-dependent speed: Algorithms based on the Hamilton-Jacobi formulation," J. Comput. Phys., vol. 79, pp. 12-49, 1988.
7. N. Paragios and R. Deriche, "Geodesic active regions: A new framework to deal with frame artition problems in computer vision," J. Vis. Commun. Image Represent., vol. 13, pp. 249-268, 2002.
8. A. Tsai, A. Yezzi, Jr., W. Wells, C. Tempany, D. Tucker, A. Fan, W. E. Grimson, and A. Willsky, "A shape-based approach to the segmentation of medical imagery using level sets," IEEE Trans. Med. Imag., vol. 22, no. 2, pp. 137-154, Feb. 2003.
9. T. Cootes, G. Edwards, and C. Taylor, "Active appearance models," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 6, pp. 681-685, Jun. 2001.
10. M. de Bruijne and M. Nielsen, "Shape particle filtering for image segmentation," in Proc. MICCAI, 2004, vol. 3216, pp. 168-175.
11. M. Leventon, E. Grimson, and O. Faugeras. "Statistical shape influence in geodesic active contour models," in Proc. IEEE Conf CVPR, Jun. 2000, vol. 1, pp. 316-322.
12. G. Charpial, O. Faugeras, and R. Keriven, "Approximations shape metrics and application to shape warping and empirical shape statistics," Found. Comput. Math., vol. 5, no. 1, pp. 1-58, Feb. 2005.
13. A. Tsai, W. Wells, C. Tempany, E. Grimson, and A. Willsky, "Mutual information in coupled multi-shape model for medical image segmentation," Med. image Anal., vol. 88, no. 4, pp. 429-445, 2004.
14. M. Rousson and N. Paragios, "Shape priors for level set representations," in Proc. ECCV, 2002, vol. II, pp. 78-92.
15. N. Paragios, M. Rousson, and V. Ramesh, "Knowledge-based registration & segmentation of the left ventricle: A level set approach," in Proc. IEEE Workshop Appl. Comput. Vis., 2002, pp. 316-322.
16. D. Cremers, N. Sochen, and C. Schnorr, "Towards recognition-based variational segmentation using shape priors and dynamic labeling," Scale Space Theories Comput. Vis., vol. 2695, RD. 388-400, Jun. 2003.
17. E. Pichon, A. Tannenbaum, and R. Kikinis, "A statistically based surface evolution method for medical image segmentation: Presentation and validiation," in Proc. 6th Int. Conf Med. Image Comput. Comput.-Assisted Intervention (MICCAI 2003), pp. 277-284.
18. X. Zeng, L. H. Stab, R. T. Schultz, and J. S. Duncan, "Segmentation and measurement of the cortex from 3D MR, images using coupled surfaces propagation," IEEE Trans. Med. Imag., vol. 18, no. 10, pp. 100-111, Oct. 1999.
19. J. Folkesson, E. B. Dam, 0. F. Olsen, P. C. Pettersen, and C. Christiansen, "Segmenting articular cartilage automatically using a voxel classification approach," IEEE Trans. Med. Imag., vol. 26, no. 1, pp. 106-115, Jan. 2007.
20. S. Arya, D. Mount, N. Netanyahu, R. Silverman, and A. Wu, "An optimal algorithm for approximate nearest neighbor searching in fixed dimensions," in Proc. 5th ACM-SIAM. Discrete Algorithms, 1994, pp. 573-582.
21. L. Dice, "Measures of the amount of ecologic association between species." Ecology, vol. 26, pp. 297-302, 1945.
22. A. Jain, R. Duin, and J. Mao, "Statistical pattern recognition: A review," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 1, pp. 4-37, Jan. 2000.
23. L. Florack, "The syntactical structure of scalar images," Ph.D. dissertation, Uviv. Utrecht, Utrecht, The Netherlands, 1993.
24. J. Blom, "Topological and geometrical aspects of image structure," Ph.D. dissertation, Univ. Utrecht, Utrecht, The Netherlands, 1992.
25. J. Weickert, Anisotropic Diffusion in Image Processing. Stuttgart, Germany: Teubner, 1998.
26. V. Caselles, R. Kimmel, and G. Sapiro, "Geodesic active contours," in Proc. Int. Conf. Comput. Vis., 1995, pp. 694-699.
27. S. Kichenassamy, A. Kumar, P. Olver, A. Tannenbaum, and A. Yezzi, "Gradient flows and geometric active contour models," in Proc. ICCV 1995, pp. 810-815.
28. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active contour models," Int. J. Comput. Vis., vol. 1, no. 4, pp. 321-331, 1988.
29. H.-K. Zhao, T. Chan, B. Merriman, and S. Osher, "A variational level set approach to multiphase motion," J. Comput. Phys., vol. 127, pp. 179-195, 1996.
30. S. C. Zhu and A. Yuille, "Region competition: Unifying snakes, region growing, and Bayes/MDL for multiband image segmentation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 18, no. 9, pp. 8884-900, Sep. 1996.
31. L. Spreeuwers and M. Breeuwer, "Detection of left ventricular and epi- and endocardial borders using coupled active contours," in Proc. Comput. Assisted Radiol. Surg., 2003, pp. 1147-1152.
32. M. Stegmann, H. Olafsdottir, and H. Larsson, "Unsupervised motion compensation of multi-slice cardiac perfusion MRI," Med. Image Anal. vol. 9, no. 4, pp. 394-410, 2005.