» Download Article
A Weighted Patient Specific Electromechanical Model of the Heart
Modeling and Control in Biomedical Systems, Volume # 7 | Part# 1
Authors
Szilagyi, Sandor Miklos; Szilagyi, Laszlo; Iclănzan, David Andrei; Benyo, Zoltan
Identifier
10.3182/20090812-3-DK-2006.00047
Index Terms
Functional imaging and data modelling; Cellular and molecular systems; Biomedical signal processing
Abstract
This paper presents a patient specific deformable heart model that involves the known electric and mechanic properties of the cardiac cells and tissue. The accuracy and efficiency of the algorithm was tested for anisotropic and inhomogeneous 3D domains using ten TusscherÂ’s and NygenÂ’s cardiac cell models. During propagation of depolarization wave, the kinetic, compositional and rotational anisotropy is included in the tissue, organ and torso model. The applied patient specific parameters were determined by an evolutionary computation method. An intensive parameter reduction was performed using the abstract formulation of the searching space. This patient specific parameter representation enables the adjustment of deformable model parameters in real-time. The validation process was performed using measured ECG and ultrasound image records that were compared with simulated signals and shapes using an abstract, parameterized evaluation criterion.
References
Bosch, J.G., Mitchell, S.C., Lelieveldt, B.P.F., Nijland, et al. (2002) Automatic segmentation of echocardiographic sequences by active appearance motion models. IEEE Trans. Med. Imag. Vol. 21, pp. 1374–1383. Brotherton, T., Pollard, T., Simpson, P., and DeMaria, A. (1994) Echocardiogram structure and tissue classifica-tion using hierarchical fuzzy neural networks. Proc. IEEE Conf. Acoustics Speech Sign. Proc. 2, pp. 573–576 Cootes, T.F., Edwards, G.J., et al. (2001) Active appearance models. IEEE Trans. PAMI Vol. 23, pp. 681–685. Geiser, E.A., Wilson, D.C., Wang, D.X., Conetta, D.A., et al. (1998) Autonomous epicardial and endocardial boundary detection in echocardiographic shor-axis images. J. Amer. Soc. Echocardiogr. Vol. 11, pp. 338–348. Godefroid P., and Khurshid, S. (2002) Exploring Very Large State Spaces Using Genetic Algorithms. Lect. Notes Comp. Sci. Vol. 2280, pp. 266–280. Goldberg, D.E. (1989) Genetic Algorithms in Search, Optimization and Machine Learning. Addison Wesley Harrild, D. M., and Henriquez, C. S. (2000) A Computer Model of Normal Conduction in the Human Atria. Circ. Res. Vol. 87, pp. 25–36 Holland, J.H. (1975) Adaptation in natural artificial systems. University of Michigan Press, Ann Arbor Lagarias, J., Reeds, J., et al.(1998) Convergence properties of the Nelder-Mead simplex algorithm in low dimensions. SIAM Journal on Optimization Vol. 9(1), pp. 112-147. Lagerholm, M., Peterson, C., et al. (2000) Clustering ECG complexes using Hermite functions and self-organizing maps. IEEE Trans. Biomed. Eng. 47, 838–848. Lelieveldt, B., Mitchell, S., Bosch, J., van der Geest, R., et al. (2001) Time continuous segmentation of cardiac image sequences using active appearance motion models, Lect. Not. Comp. Sci. Vol. 2082, pp. 446–452. Noble, D. (2004) Modeling the heart. Physiol. Vol. 19, pp. 191–197. Nygren, A., Fiset, C., Firek, L., Clark, J. W., Lindblad, D. S., Clark, R. B., and Giles, W. R (1998) Mathematical Model of an Adult Human Atria Cell: The Role of K+ Currents in Repolarization. Circ. Res. Vol. 82, pp. 63–81 Sermesant, M., et al. (2006) An electromechanical model of the heart for image analysis and simulation. IEEE Trans. Med. Imag. Vol. 25, pp. 612–625. Thaker, N.V., Ferrero, J.M. (1998) Electrophysiologic models of heart cells and cell networks. IEEE EMBS Mag. Vol. 17(5), pp. 73–83 ten Tusscher, K. H. W. J., et al. (2006) Comparison of electrophy-siological models for human ventricular cells and tissues. Prog. Biophys. Mol. Biol. Vol. 90, pp. 326–345 ten Tusscher, K. H. W. J., Noble, D., Noble, P. J., et al. (2004) A model for ventricular tissue. Amer. J. Physiol. Heart. Circ. Physiol. Vol. 286, pp. H1573–H1589 Winslow, R. L., et al. (2000) Electrophysiological Modeling of Cardiac Ventricular Function: From Cell to Organ. Annu. Rev. Biomed. Eng. Vol. 2, pp. 119–155 Winslow, R.L., Hinch, R., and Greenstein, J.L. (2005) Mechanisms and models of cardiac excitation-contraction coupling. Lect. Notes Math. Vol. 1867, pp. 97–131.