Abstract
In this article, we present a framework to estimate local myocardium contractility using clinical MRI, a heart model and data assimilation. First, we build a generic anatomical model of the ventricles including muscle fibre orientations and anatomical subdivisions. Then, this model is deformed to fit a clinical MRI, using a semi-automatic fuzzy segmentation, an affine registration method and a local deformable biomechanical model. An electromechanical model of the heart is then presented and simulated. Data assimilation makes it possible to estimate local contractility from given displacements. Presented results on adjustment to clinical data and on assimilation with simulated data are very promising. Current work on model calibration and estimation of patient parameters open up possibilities to apply this framework in a clinical environment.
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References
Andriantsimiavona, R., Griffin, L., Hill, D., Razavi, R.: Simple cardiac MRI segmentation. In: International Society for Magnetic Resonance in Medicine Scientific Meeting, vol. 6, p. 951 (2003)
Arts, T., Bovendeerd, P., van der Toorn, A., Geerts, L., Kerckhoffs, R., Prinzen, F.: Modules in cardiac modeling: Mechanics, circulation, and depolarization wave. In: Katila, T., Magnin, I.E., Clarysse, P., Montagnat, J., Nenonen, J. (eds.) FIMH 2001. LNCS, vol. 2230, pp. 83–90. Springer, Heidelberg (2001)
Bestel, J., Clément, F., Sorine, M.: A biomechanical model of muscle contraction. In: Niessen, W.J., Viergever, M.A. (eds.) MICCAI 2001. LNCS, vol. 2208, pp. 1159–1161. Springer, Heidelberg (2001)
Cerqueira, M., Weissman, N., Dilsizian, V., Jacobs, A., Kaul, S., Laskey, W., Pennell, D., Rumberger, J., Ryan, T., Verani, M.: Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. Circulation 105, 539–542 (2002)
Chandrashekara, R., Mohiaddin, R., Rueckert, D.: Analysis of 3-D myocardial motion in tagged MR images using nonrigid image registration. IEEE Transactions on Medical Imaging 23(10), 1245–1250 (2004)
Chapelle, D., Clément, F., Génot, F., Le Tallec, P., Sorine, M., Urquiza, J.: A physiologically-based model for the active cardiac muscle contraction. In: Katila, T., Magnin, I.E., Clarysse, P., Montagnat, J., Nenonen, J. (eds.) FIMH 2001. LNCS, vol. 2230, pp. 128–133. Springer, Heidelberg (2001)
Chapelle, D., Sainte-Marie, J., Cimrman, R.: Modeling and estimation of the cardiac electromechanical activity. In: Proceedings of the ECCOMAS 2004 Conference (2004)
Costa, K., Holmes, J., McCulloch, A.: Modelling cardiac mechanical properties in three dimensions. Philosophical Transactions of the Royal Society of London 359(1783), 1233–1250 (2001)
Courtier, P., Talagrand, O.: Variational assimilation of meteorological observations with the adjoint vorticity equation. Quart. J. Roy. Meteorol. Soc. 113, 1311–1347 (1987)
FitzHugh, R.: Impulses and physiological states in theoretical models of nerve membrane. Biophysical Journal 1, 445–466 (1961)
Hsu, E., Henriquez, C.: Myocardial fiber orientation mapping using reduced encoding diffusion tensor imaging. Journal of Cardiovascular Magnetic Resonance 3, 325–333 (2001)
Hunter, P., Pullan, A., Smaill, B.: Modeling total heart function. Annual Review of Biomedical Engineering 5, 147–177 (2003)
Huxley, A.F.: Muscle structure and theories of contraction. Progress in Biophysics & Biological Chemistry 7, 255–318 (1957)
Kalman, R.E.: A new approach to linear filtering and prediction problems. ASME Trans.–Journal of Basic Engineering 82(Series D), 35–45 (1960)
Katila, T., Magnin, I., Clarysse, P., Montagnat, J., Nenonen, J. (eds.): FIMH 2001. LNCS, vol. 2230. Springer, Heidelberg (2001)
Lions, J.L.: Contrôle optimal des systèmes gouvernés par des équations aux dérivées partielles, Dunod (1968)
MacDonald, D.A.: Blood flow in arteries. Edward Arnold Press, London (1974)
Magnin, I., Montagnat, J., Clarysse, P., Nenonen, J., Katila, T. (eds.): FIMH 2003. LNCS, vol. 2674. Springer, Heidelberg (2003)
Mercier, J., DiSessa, T., Jarmakani, J., Nakanishi, T., Hiraishi, S., Isabel-Jones, J., Friedman, W.: Two-dimensional echocardiographic assessment of left ventricular volumes and ejection fraction in children. Circulation 65, 962–969 (1982)
Mirsky, I., Parmley, W.W.: Assessment of passive elastic stiffness for isolated heart muscle and the intact heart. Circul. Research 33, 233–243 (1973)
Peters, D., Ennis, D., Rohatgi, P., Syed, M., McVeigh, E., Arai, A.: 3D breath-held cardiac function with projection reconstruction in steady state free precession validated using 2D cine MRI. Journal of Magnetic Resonance Imaging 20(3), 411–416 (2004)
Ryf, S., Spiegel, M., Gerber, M., Boesiger, P.: Myocardial tagging with 3D-CSPAMM. Journal of Magnetic Resonance Imaging 16(3), 320–325 (2002)
Sainte-Marie, J., Chapelle, D., Sorine, M.: Data assimilation for an electro-mechanical model of the myocardium. In: Bathe, K.J. (ed.) Second M.I.T. Conference on Computational Fluid and Solid Mechanics, pp. 1801–1804 (2003)
Sermesant, M., Forest, C., Pennec, X., Delingette, H., Ayache, N.: Deformable biomechanical models: Application to 4D cardiac image analysis. Medical Image Analysis 7(4), 475–488 (2003)
Stergiopulos, N., Westerhof, B.E., Westerhof, N.: Total arterial inertance as the fourth element of the windkessel model. Am. J. Physiol. 88, H81–H88 (1999)
Veronda, D.R., Westmann, R.A.: Mechanical characterization of skin - finite deformation. Journal of Biomechanics 3, 114–124 (1970)
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Sermesant, M. et al. (2005). Cardiac Function Estimation from MRI Using a Heart Model and Data Assimilation: Advances and Difficulties. In: Frangi, A.F., Radeva, P.I., Santos, A., Hernandez, M. (eds) Functional Imaging and Modeling of the Heart. FIMH 2005. Lecture Notes in Computer Science, vol 3504. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494621_33
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DOI: https://doi.org/10.1007/11494621_33
Publisher Name: Springer, Berlin, Heidelberg
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