Volumetric analysis of the heart using echocardiography

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4466 LNCS, Issue , 2007, Pages 81-90

  Szilágyi, Sándor M ^a   Szilágyi, László ^a,b   Benyó, Zoltán ^b  

^a SAPIENTIA HUNGARIAN UNIVERSITY OF TRANSYLVANIA   (Romania)

^b BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

3 D active appearance model; Echocardiography; QRS clustering; Sequence analysis; Volumetric analysis

Indexed keywords

ALGORITHMS; IMAGE RECONSTRUCTION; MATHEMATICAL MODELS; TIME VARYING SYSTEMS; VOLUMETRIC ANALYSIS;

3-D ACTIVE APPEARANCE MODELS; QRS CLUSTERING; SEQUENCE ANALYSIS;

ECHOCARDIOGRAPHY;

EID: 34548093762     PISSN: 03029743     EISSN: 16113349     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-72907-5_9     Document Type: Conference Paper

References (24)

1. Angelini, E.D., Laine, A.F., Takuma, S., Holmes, JW., Homma, S.: LV volume quantification via spatiotemporal analysis of real-time 3-D echocardiography. IEEE Trans. Med. Imag. 20, 457-469 (2001)
2. Belohlavek, M., Manduca, A., Behrenbeck, T., Seward, J., Greenleaf, J.F.: Image analysis using modified self-organizing maps: automated delineation of the left ventricular cavity in serial echocardiograms. In: Proc. Visual. Biomed. Comp. Conf. pp. 247-252 (1996)
3. Benjamin, E.J., Levy, D.: Why is left ventricular hypertrophy so predictive of morbidity and mortality? Am. J. Med. Sci. 317, 168-175 (1999)
4. Besl, P.J., McKay, N.D.: A method for registration of 3-D shapes. IEEE Trans. Patt. Anal. Mach. Intell. 14, 239-256 (1992)
5. Bosch, J.G., Mitchell, S.C., Lelieveldt, B.P.F., Nijland, F., Kamp, O., Sonka, M., Reiber, J.H.C.: Automatic segmentation of echocardiographic sequences by active appearance motion models. IEEE Trans. Med. Imag. 21, 1374-1383 (2002)
6. Brotherton, T., Pollard, T., Simpson, P., DeMaria, A.: Echocardiogram structure and tissue classification using hierarchical fuzzy neural networks. In: Proc. IEEE Conf. Acoustics Speech Sign. Proc. 2, pp. 573-576 (1994)
7. 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)
8. Cootes, T.F., Edwards, G.J., Taylor, C.J: Active appearance models. IEEE Trans. Patt. Anal. Mach. Intell 23, 681-685 (2001)
9. Dias, J.M.B., Leitão, J.M.N.: Wall position and thickness estimation from sequences of echocardiographic images. IEEE Trans. Med. Imag. 15, 25-38 (1996)
10. Duncan, J.S., Ayache, N.: Medical image analysis: progress over two decades and the challenges ahead. IEEE Trans. Patt. Anal. Mach. Intell. 22, 85-105 (2000)
11. Evans, A.N., Nixon, M.S.: Biased motion-adaptive temporal filtering for speckle reduction in echocardiography. IEEE Trans. Med. Imag. 15, 39-50 (1996)
12. Geiser, E.A., Wilson, D.C., Wang, D.X., Conetta, D.A., Murphy, J.D., Hutson, A.D: Autonomous epicardial and endocardial boundary detection in echocardiographic shor-axis images. J. Amer. Soc. Echocardiogr. 11, 338-348 (1998)
13. Haider, A.W., Larson, M.G., Benjamin, E.J., Levy, D.: Increased left ventricular mass and hypertrophy are associated with increased risk for sudden death. J. Am. Coll. Cardiol. 32, 1454-1459 (1998)
14. Issenberg, S.B., Gordon, M.S., Gordon, D.L., Safford, R.E., Hart, I.R.: Simulation and new learning technologies. Med. Teach 23, 16-23 (2001)
15. Lagerholm, M., Peterson, C., Braccini, G., Edenbrandt, L., Sörnmo, L.: Clustering ECG complexes using Hermite functions and self-organizing maps. IEEE Trans. Biomed. Eng. 47, 838-848 (2000)
16. Lelieveldt, B.P.F., van der Geest, R.J., Mitchell, S.C., Bosch, J.G., Sonka, M., Reiber, J.H.C.: 3-D active appearance models: fully automatic detection of endo-and epicardial contours in short-axis cardiac MR data. In: Proc. Int. Soc. Magn. Res. Med. (ISMRM) vol. 2 , p. 1668 (2002)
17. MacLeod, R.S., Brooks, D.H.: Recent progress in inverse problems in echocardiology. IEEE EMBS Mag. 17(5), 73-83 (1998)
18. Mitchell, S.C., Lelieveldt, B.P.F., Bosch, J.G., van der Geest, R.J., Reiber, J.H.C., Sonka, M.: Segmentation of cardiac MR volume data using 3D active appearance models. In: Proc. SPIE Med. Imag. pp. 433-443 (2002)
19. Mitchell, S.C., Bosch, J.G., Lelieveldt, B.P.F., van der Geest, R.J., Reiber, J.H.C., Sonka, M.: 3-D active appearance models: segmentation of cardiac MR and ultrasound images. IEEE Trans. Med. Imag. 21, 1167-1178 (2002)
20. Montagnat, J., Delingette, H., Malandain, G.: Cylindrical echocardiographic image segmentation based on 3-D deformable models. In: Taylor, C., Colchester, A. (eds.) Medical Image Computing and Computer-Assisted Intervention - MICCAI 1999. LNCS, vol. 1679, pp. 168-176. Springer, Heidelberg (1999)
21. Stegmann, M., Pedersen, D.: Bi-temporal 3D active appearance models with applications to unsupervised ejection fraction estimation, Progr. Biomed. Opt. Imag. Proc. SPIE 5746, pp. 336-350 (2005)
22. Szilágyi, S. M., Benyó, Z., Dávid, L.: Iterative ECG Filtering for Better Malfunction Recognition and Diagnosi. In: Proc. 5th Int. IFAC Symp. Modell. Contr. Biomed. Syst. pp. 295-300 (2003)
23. Szilágyi, S. M., Benyó, Z., Szilágyi, L.: Recognition of various events from 3-D heart model, 16th IFAC World Congr. Preprint, paper #4695, 1-6 (2005)
24. Winslow, R.L., Hinch, R., Greenstein, J.L.: Mechanisms and models of cardiac excitation-contraction coupling. In: Ganter, B., Mineau, G.W. (eds.) ICCS 2000. LNCS, vol. 1867, pp. 97-131. Springer, Heidelberg (2000)