Segmentation of the left ventricle of the heart in 3-D+t MRI data using an optimized nonrigid temporal model

IEEE Transactions on Medical Imaging

Volumn 27, Issue 2, 2008, Pages 195-203

  Lynch, Michael ^a   Ghita, Ovidiu ^b   Whelan, Paul F ^b  

^a SIEMENS AG   (Germany)

^b DUBLIN CITY UNIVERSITY   (Ireland)

Author keywords

Cardiac magnetic resonance imaging (MRI); Four dimensional (4 D); Level set; Segmentation; Temporal model

Indexed keywords

ALGORITHMIC FRAMEWORK; CARDIAC CYCLES; CARDIAC MAGNETIC RESONANCE IMAGING; EXPECTATION-MAXIMIZATION ALGORITHMS; FOUR-DIMENSIONAL (4-D); IMAGING MODALITY; INTEGRATED SEGMENTATION; LEFT VENTRICLES; LEVEL SETS; LEVEL-SET FUNCTION; MYOCARDIAL DEFORMATION; PRIOR KNOWLEDGE; SEGMENTATION PROCESS; TEMPORAL DOMAIN; TEMPORAL EVOLUTION; TEMPORAL MODELS;

ALGORITHMS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING;

THREE DIMENSIONAL;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HEART VENTRICLE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HEART VENTRICLES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING, CINE; MODELS, ANATOMIC; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 41649111716     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2007.904681     Document Type: Article

References (46)

1. A. Rodgers and P. Vaughan, The World Health Report 2002. Geneva, Switzerland: The World Health Organisation, 2002, .
2. S. Petersen, V. Peto, M. Rayner, J. Leal, R. Luengo-Fernandez, and A. Gray, European cardiovascular disease statistics British Heart Foundation, London, U.K., 2005.
3. A. F. Frangi, W. J. Niessen, and M. A. Viergever, "Three-dimensional modelling for functional analysis of cardiac images: A review," IEEE Trans. Med. Imag., vol. 20, no. 1, pp. 2-25, Jan. 2001. (Pubitemid 32293417)
4. J. S. Suri, S. K. Setarehdan, and S. E. Singh, Advanced Algorithmic Approaches to Medical Image Segmentation: State-Of-The-Art Applications In Cardiology, Neurology, Mammography and Pathology. Berlin: Springer, 2002.
5. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active contour models," in Int. J. Comput. Vis., 1988, vol. 1, pp. 321-331.
6. L. H. Staib and J. S. Duncan, "Boundary finding with parametrically deformable models," IEEE Trans. Pattern Anal. Mach. Intell., vol. 14, no. 11, pp. 1061-1075, Nov. 1992.
7. L. Staib and J. Duncan, "Model-based deformable surface finding for medical images," IEEE Trans. Med Imag., vol. 15, no. 5, pp. 720-731, Oct. 1996. (Pubitemid 126780361)
8. H. Delingette, M. Hébert, and K. Ikeuchi, "Shape representation and image segmentation using deformable surfaces," Image and Vision Comput, vol. 10, no. 3, pp. 132-144, Apr. 1993.
9. L. D. Cohen, "On active contour models and baloons," CVGIP: Image Understand., vol. 53, pp. 211-218, 1991.
10. M. Sermesant, C. Forest, X. Pennec, H. Delingette, and N. Ayache, "Deformable biomechanical models: Application to 4-D cardiac image analysis," Med. Image Anal., vol. 7, no. 4, pp. 475-488, 2003. (Pubitemid 37322312)
11. D. Molloy and P. W. Whelan, "Active-meshes," Pattern Recogn. Lett., vol. 21, pp. 1071-1080, 2000. (Pubitemid 32033743)
12. T. Cootes, C. Taylor, A. Hill, and J. Halsm, "The use of active shape model for locating structures in the medical image," Image Vis. Comput., vol. 12, no. 6, pp. 355-366, 1994.
13. T. F. Cootes, G. J. Edwards, and C. J. Taylor, "Active appearance models," Lecture Notes Comput. Sci., vol. 1407, pp. 484-498, 1998. (Pubitemid 128093046)
14. M. B. Stegmann, H. Ólafsdóttir, and H. B. W. Larsson, "Unsupervised motion-compensation of multi-slice cardiac perfusion MRI," Med. Image Anal., vol. 9, no. 4, pp. 394-410, 2005. (Pubitemid 40822994)
15. B. P. F. Lelieveldt, S. C. Mitchell, J. G. Bosch, R. J. van der Geest, M. Sonka, and J. H. C. Reiber, "Quantification of cardiac ventricular function using magnetic resonance imaging (MRI) and multi slice computed tomography (MSCT)," in Proc. Inf. Process. Med. Imag., Davis, CA, 2001, vol. 18-22fs, pp. 446-452.
16. S. C. Mitchell, B. P. F. Lelieveldt, J. G. Bosch, R.Van der Geest, J. H. C. Reiber, and M. Sonka, "Segmentation of cardiacMRvolume data using 3-D active appearance models," in Proc. SPIE Int. Soc. Eng., 2002, vol. 4684 I, pp. 433-443. (Pubitemid 35237281)
17. M. Lorenzo-Valdés, G. I. Sanchez-Ortiz, A. G. Elkington, R. H. Mohiaddin, and D. Rueckert, "Segmentation of 4-D cardiac MR images using a probabilistic atlas and the EM algorithm," Med. Image Anal., vol. 8, pp. 255-265, 2004. (Pubitemid 39185909)
18. S. Osher and J. A. Sethian, "Fronts propagating with curvature dependent speed: Algorithms based on hamilton-jacobi formulations," J. Comput. Phys., pp. 12-49, 1988.
19. R. Malladi, J. A. Sethian, and B. C.Vemuri, "Shape modeling with front propagation: A level set approach," IEEE Trans. Pattern Anal. Mach. Intell., vol. 17, no. 2, pp. 158-175, Feb. 1995.
20. R. Malladi and J. A. Sethian, "Level set methods for curvature flow, image enhancement, and shape recovery in medical images," in Proc. Conf. Visualization Math., Berlin, Germany, Jun. 1997.
21. V. Caselles, F. Catté, T. Coll, and F. Dibos, "A geometric model for active contours in image processing," Numer Math, vol. 66, no. 1, pp. 1-31, Dec. 1993.
22. V. Caselles, R. Kimmel, and G. Sapiro, "Geodesic active contours," Int. J. Comp. Vision, vol. 22, no. 1, pp. 61-79, 1997. (Pubitemid 127507390)
23. W. J. Niessen, B. M. ter Haar Romeny, and M. A. Viergever, "Geodesic deformable models for medical image analysis," IEEE Trans. Med. Imag., vol. 17, no. 4, pp. 634-642, Aug. 1998.
24. J. Suri, K. Liu, S. Singh, S. Laxminarayana, and L. Reden, "Shape recovery algorithms using level sets in 2-D/3-D medical imagery: A state-of-the-art review," IEEE Trans. Inf. Technol. Biomed., vol. 6, no. 1, pp. 8-28, Mar. 2002. (Pubitemid 34491591)
25. E. D. Angelini, Y. Jin, and A. F. Laine, "Handbook of medical image analysis: Advanced segmenation and registration models," in State-of-the- Art of Levelset Methods in Segmentation and Registration of Medical Imaging Modalities. Norwell, MA: Kluwer, 2004.
26. V. Caselles, R. Kimmel, and G. Sapiro, "Geodesic active contours," in Proc. 5th Int. Conf. Comput. Vision, Jun. 1995, pp. 694-699.
27. J. A. Sethian, "A marching level set method for monotonically advancing fronts," in Proc. Natl. Acad. Sci., 1996, vol. 93, pp. 1591-1595. (Pubitemid 26075170)
28. D. Adalsteinsson and J. A. Sethian, "A fast level set method for propagating interfaces," J. Comput. Phys., vol. 118, no. 2, pp. 269-277, May 1995.
29. K. D. Fritscher, R. Pilgram, and R. Schubert, "Automatic cardiac 4-D segmentation using level sets," in Proc. of Functional Imaging and Modelling of the Heart, A. Frangi, Ed. : Springer, 2005, Lecture Notes in Computer Science, pp. 113-122. (Pubitemid 41322390)
30. E. Bardinet, L. Cohen, and N. Ayache, "Tracking and motion analysis of the left ventricle with deformable superquadratics," Med. Image Anal., vol. 1, no. 2, pp. 129-149, 1996. (Pubitemid 126421960)
31. T. McInerney and D. Terzopoulos, "A dynamic finite element surface model for segmentation and tracking in multidimensional medical images with application to 4-D image analysis," Comput. Med. Imag. Graph., vol. 19, no. 1, pp. 69-83, Jan. 1995.
32. D. Rueckert and P. Burger, "Shape-based segmentation and tracking in 4-D cardiac MR images," in Proc. Int. Conf. Computer Vision, Virtual Reality Robotics Medicine, CVRMed., Grenoble, France, 1997, pp. 43-52. (Pubitemid 127045537)
33. W. Sun, M. Çetin, R. Chan, V. Reddy, G. Holmvang, V. Chandar, and A. S. Willsky, "Segmenting and tracking the left ventricle by learning the dynamics in cardiac images," Inf. Process. Med. Imag. (IPMI), pp. 553-565, 2005. (Pubitemid 41425345)
34. J. C. McEachen, II and J. S. Duncan, "Shape-based tracking of left ventricular wall motion," IEEE Trans. Med. Imag., vol. 16, no. 3, pp. 270-283, Mar. 1997. (Pubitemid 127770412)
35. N. Paragios, "A variational approach for the segmentation of the left ventricle," Int. J. Comput. Vis., pp. 345-362, 2002. (Pubitemid 35381598)
36. - "4-D deformable models with temporal constraints: Application to 4-D cardiac image segmentation," Med. Image Anal., vol. 9, no. 1, pp. 87-100, Feb. 2005.
37. D. Perperidis, A. Rao, M. Lorenzo-Valdés, R. Mohiaddin, and D. Rueckert, "Spatio-temporal alignment of 4-D cardiac MR images," in Functional Imaging and Modeling of the Heart. New York: Springer-Verlag, 2003, pp. 205-214.
38. D. Perperidis, R. Mohiaddin, and D. Rueckert, "Spatio-temporal freeform registration of cardiac MR image sequences," in Medical Image Computing and Computer-Assisted Intervention-MICCAI. Berlin, Germany: Springer, 2004, pp. 911-919. (Pubitemid 40787467)
39. J. L. Barron, "Experience with 3-D optical flow on gated MRI cardiac datasets," in Proc. 1st Canadian Conf. Comput. Robot Vision, May 2004, pp. 370-377.
40. N. Paragios and R. Deriche, "Geodesic active regions: A new paradigm to deal with frame partition problems in computer vision," J. Vis. Comm. Image Rep., vol. 13, no. 2, pp. 249-268, 2002. (Pubitemid 34278494)
41. J. M. Bland and D. G. Altman, "Statistical methods for assessing agreement between 2 methods of clinical measurement," Lancet, vol. 8476, pp. 307-310, 1986. (Pubitemid 16134762)
42. D. Rueckert, P. Burger, S. M. Forbat, R. Mohiaddin, and G. Z. Yang, "Automatic tracking of the aorta in cardiovascularMRimages using deformable models," IEEE Trans. Med. Imag., vol. 16, no. 5, pp. 581-590, Oct. 1997. (Pubitemid 127767636)
43. L. R. Dice, "Measures of the amount of ecologic association between species," Ecology, vol. 26, no. 3, pp. 297-302, 1945.
44. L. Xu, "On convergence properties of the EM algorithm for Gaussian mixtures," Neural Comput., vol. 8, no. 1, pp. 129-151, Jan. 1996. (Pubitemid 126449919)
45. A. Dempster, N. Laird, and D. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. Roy. Statist., Ser. B, vol. 39, no. 1, pp. 1-38, 1977.
46. J. Bilmes, A gentle tutorial of the EM algorithm and its application to parameter estimation for gaussian mixture and hidden markov models Univ. Berkeley, Berkeley, CA, Tech. Rep. TR-97-021, 1998.