Abstract
We propose a methodology for performing the estimation of a key constitutive parameter in a biomechanical heart model – namely, the tissue contractility – using tagged-MRI data. We adopt a sequential data assimilation strategy, and the image data is assumed to be processed in the form of deforming tag planes, which we employ to obtain a discrepancy between the model and the data by computing distances to these surfaces. We assess our procedure using synthetic measurements produced with a model representing an infarcted heart as observed in an animal experiment, and the estimation results are found to be of superior accuracy compared to assimilation based on segmented endo- and epicardium surfaces.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Augenstein, K.F., Cowan, B.R., LeGrice, I.J., Nielsen, P.M.F., Young, A.A.: Method and apparatus for soft tissue material parameter estimation using tissue tagged magnetic resonance imaging. J. Biomech. Eng. 127(1), 148–157 (2005)
Billet, F., Sermesant, M., Delingette Delingette, H., Ayache, N.: Cardiac motion recovery by coupling an electromechanical model and cine-MRI data: First steps. In: Proc. of Computational Biomechanics for Medicine III. MICCAI Workshop (2008)
Blum, J., Le Dimet, F.X., Navon, I.M.: Data assimilation for geophysical fluids. In: Temam, R., Tribbia, J. (eds.) Handbook of Numerical Analysis: Computational Methods for the Atmosphere and the Oceans. Elsevier, Amsterdam (2008)
Chabiniok, R., Chapelle, D., Lesault, P.-F., Rahmouni, A., Deux, J.-F.: Validation of a biomechanical heart model using animal data with acute myocardial infarction. In: Proc. of CI2BM 2009 - MICCAI Workshop (2009)
Chabiniok, R., Moireau, P., Lesault, P.-F., Rahmouni, A., Deux, J.-F., Chapelle, D.: Trials on tissue contractility estimation from cardiac Cine MRI using a biomechanical heart model. In: Metaxas, D.N., Axel, L. (eds.) FIMH 2011. LNCS, vol. 6666, pp. 304–312. Springer, Heidelberg (2011)
Chandrashekara, R., Mohiaddin, R.H., Rueckert, D.: Analysis of 3D myocardial motion in tagged MR images using non-rigid image registration. IEEE Trans. Med. Imaging 23(10), 1245–1250 (2004)
Chen, T., Wang, X., Chung, S., Metaxas, D.N., Axel, L.: Automated 3D motion tracking using Gabor filter bank, robust point matching, and deformable models. IEEE Trans. Med. Imaging 29(1), 1–11 (2010)
Clarysse, P., Basset, C., Khouas, L., Croisille, P., Friboulet, D., Odet, C., Magnin, I.E.: Two-dimensional spatial and temporal displacement and deformation field fitting from cardiac magnetic resonance tagging. Med. Image Anal. 4(3), 253–268 (2000)
Declerck, J., Denney, T.S., Oztürk, C., O’Dell, W., McVeigh, E.R.: Left ventricular motion reconstruction from planar tagged MR images: a comparison. Phys. Med. Biol. 45(6), 1611–1632 (2000)
Liu, H., Shi, P.: Maximum a posteriori strategy for the simultaneous motion and material property estimation of the heart. IEEE Trans. Biomed. Eng. 56(2), 378–389 (2009)
Moireau, P., Chapelle, D.: Reduced-order Unscented Kalman Filtering with application to parameter identification in large-dimensional systems. Cont. Optim. and Calc. Variat. (2010)
Moireau, P., Chapelle, D., Le Tallec, P.: Filtering for distributed mechanical systems using position measurements: Perspectives in medical imaging. Inverse Prob. 25(3), 35010 (2009)
Moireau, P., Xiao, N., Astorino, M., Figueroa, C.A., Chapelle, D., Taylor, C.A., Gerbeau, J.-F.: External tissue support and fluid-structure simulation in blood flows. Biomech. Model. Mechanobiol. (2011)(in press)
Oubel, E., De Craene, M., Gazzola, M., Hero, A.O., Frangi, A.F.: Multiview registration of cardiac tagging MRI images. In: Proc. of ISBI 2007 (2007)
Sainte-Marie, J., Chapelle, D., Cimrman, R., Sorine, M.: Modeling and estimation of the cardiac electromechanical activity. Comput. Struct. 84, 1743–1759 (2006)
Sermesant, M., Moireau, P., Camara, O., Sainte-Marie, J., Andriantsimiavona, R., Cimrman, R., Hill, D.L., Chapelle, D., Razavi, R.: Cardiac function estimation from MRI using a heart model and data assimilation: advances and difficulties. Med. Image Anal. 10(4), 642–656 (2006)
Young, A.A.: Model tags: direct three-dimensional tracking of heart wall motion from tagged magnetic resonance images. Med. Image Anal. 3(4), 361–372 (1999)
Young, A.A., Kraitchman, D.L., Dougherty, L., Axel, L.: Tracking and finite element analysis of stripe deformation in magnetic resonance tagging. IEEE Trans. Med. Imaging 14(3), 413–421 (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Imperiale, A., Chabiniok, R., Moireau, P., Chapelle, D. (2011). Constitutive Parameter Estimation Methodology Using Tagged-MRI Data. In: Metaxas, D.N., Axel, L. (eds) Functional Imaging and Modeling of the Heart. FIMH 2011. Lecture Notes in Computer Science, vol 6666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21028-0_52
Download citation
DOI: https://doi.org/10.1007/978-3-642-21028-0_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21027-3
Online ISBN: 978-3-642-21028-0
eBook Packages: Computer ScienceComputer Science (R0)