Fast Segmentation of the Mitral Valve Leaflet in Echocardiography

1. Cootes, T., Taylor, C.: Active shape models - smart snakes. In: Proceedings of the British Machine Vision Conference, pp. 266–275 (1992)

   Google Scholar 

2. Chalana, V., Linker, D.T., Haynor, D.R., Kim, Y.: A multiple active contour model for cardiac boundary detection on echocardiographic sequences. IEEE Trans. Med. Imag. 15, 290–298 (1996)

   Article  Google Scholar 

3. Mignotte, M., Meunier, J., Tardif, J.-C.: Endocardial boundary estimation and tracking in echocardiographic images using deformable templates and markov random fields. Pattern Analysis and Applications 4, 256–271 (2001)

   Article  MATH  MathSciNet  Google Scholar 

4. Mailloux, G.E., Langlois, F., Simard, P.Y., Bertrand, M.: Restoration of the velocity field of the heart from two-dimensional echocardiograms. IEEE Trans. Med. Imag. 8, 143–153 (1989)

   Article  Google Scholar 

5. Adam, D., Hareuveni, O., Sideman, S.: Semiautomated border tracking of cine echocardiographic ventricular images field of the heart from two-dimensional echocardiograms. IEEE Trans. Med. Imag. 6, 266–271 (1987)

   Article  Google Scholar 

6. Jacob, G., Noble, J., Behrenbruch, C., Kelion, A., Banning, A.: A shape-space-based approach to tracking myocardial borders and quantifying regional left-ventricular function applied in echocardiography. IEEE Trans. Med. Imag. 21, 226–238 (2002)

   Article  Google Scholar 

7. Chen, A.A.a., Elayyadi, M., Radeva, P.: Tag surface reconstruction and tracking of myocardial beads from spamm-mri with parametric b-spline surfaces. IEEE Trans. Med. Imag. 20, 94–103 (2001)

   Article  Google Scholar 

8. Lorenzo-Valdés, M., Sanchez-Ortiz, G.I., Mohiaddin, R.H., Rueckert, D.: Atlas-based segmentation of 4d cardiac mr sequences using nonrigid registration (2002)

   Google Scholar 

9. Lelieveldt, B., Mitchell, S.C., Bosch, J.G., van der Geest, R.J., Sonka, M., Reiber, J.H.C.: Time-Continuous Segmentation of Cardiac Image Sequences Using Active Appearance Motion Models. In: Insana, M.F., Leahy, R.M. (eds.) IPMI 2001. LNCS, vol. 2082, pp. 249–256. Springer, Heidelberg (2001)

   Chapter  Google Scholar 

10. Montillo, A., Metaxas, D., Axel, L.: Automated segmentation of the left and right ventricles in 4D cardiac SPAMM images. In: Dohi, T., Kikinis, R. (eds.) MICCAI 2002. LNCS, vol. 2488, p. 620. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

11. Comaniciu, D., Zhou, X.S., Chen, S.A.Y., Elayyadi, M., Radeva, P.: Robust Real-Time Myocardial Border Tracking for Echocardiography: An Information Fusion Approach. IEEE Trans. Med. Imag. 20, 94–103 (2001)

    Article  Google Scholar 

12. Mikic, I., Krucinski, S., Thomas, J.D.: Segmentation and tracking in echocardiographic sequences: active contours guided by optical flow estimates. IEEE Trans. Med. Imag. 17, 274–284 (1998)

    Article  Google Scholar 

13. Jansen, C., Arigovindan, M., Sühling, M., Marsch, S., Unser, M., Hunziker, P.: Multidimensional, multistage wavelet footprints: A new tool for image segmentation and feature extraction in medical ultrasound. In: Sonka, M., Fitzpatrick, J. (eds).: Progress in Biomedical Optics and Imaging, vol. 4(23), 5032: Proceedings of the SPIE International Symposium on Medical Imaging: Image Processing (MI 2003) (Part II), San Diego CA, USA (2003) 762–767

    Google Scholar 

14. Blake, A., Isard, M.: Active Contour. Springer, Heidelberg (1998)

    Google Scholar 

15. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. International Journal of Computer Vision 1, 321–331 (1988)

    Article  Google Scholar 

16. Amini, A.A., Weymouth, T.E., Jain, R.C.: Using dynamic programming for solving variational problems in vision. IEEE Trans. Pattern Anal. Mach. Intell. 12, 855–867 (1990)

    Article  Google Scholar 

17. Lachaud, J.-O., Taton, B.: Deformable model with a complexity independent from image resolution. Computer Vision and Image Understanding (accepted to appear, 2005)

    Google Scholar 

Download references