- Mihaela Pop18,
- Maxime Sermesant19,20,
- Jean-Marc Peyrat21,
- Eugene Crystal18,
- Sudip Ghate18,
- Tommaso Mansi22,
- Ilan Lashevsky18,
- Beiping Qiang18,
- Elliot R. McVeigh23,
- Nicholas Ayache19 &
- …
- Graham A. Wright18
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Abstract
The aim of this work was to develop a simple and fast 3D MRI-based computer model of arrhythmia inducibility in porcine hearts with chronic infarct scar, and to further validate it using electrophysiology (EP) measures obtained in-vivo. The heart model was built from MRI scans (with voxel size smaller than 1mm3) and had fiber directions extracted from diffusion tensor DT-MRI. We used a macroscopic model that calculates the propagation of action potential (AP) after application of a train of stimuli, with location and timing replicating precisely the stimulation protocol used in the in-vivo EP study. Simulation results were performed for two infarct hearts: one with non-inducible and the other with inducible ventricular tachycardia (VT), successfully predicting the study outcome like in the in-vivo cases; for the inducible heart, the average predicted VT cycle length was 273ms, compared to a recorded VT of approximately 250ms. We also generated synthetic fibers for each heart and found the associated helix angle whose transmural variation (in healthy zones) from endo- to epicardium gave the smallest difference (i.e., approx. 41°) when compared to the helix angle corresponding to fibers from DW-MRI. Mean differences between activation times computed using DT-MRI fibers and using synthetic fibers for the two hearts were 6 ms and 11 ms, respectively.
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References
Stevenson, W.G.: Ventricular scars and VT tachycardia. Trans. Am. Clin. Assoc. 120, 403–412 (2009)
Ursell, P.C., Gardner, P.I., Albala, A., Fenoglio, J., Wit, A.: Structural and EP changes in the epicardial border zone of canine myocardial infarcts during healing. Circ. Research. 56, 436–451 (1985)
Bello, D., Fieno, D.S., Kim, R.J., et al.: Infarct morphology identifies patients with substrate for sustained ventricular tachycardia. J. Am. College of Cardiology 45(7), 1104–1108 (2005)
Clayton, R.H., Panfilov, A.V.: A guide to modelling cardiac electrical activity in anatomically detailed ventricles. Progress in Biophysics & Molecular Biology (review) 96(1-3), 19–43 (2008)
Hunter, P.J., Crampin, E.J., Nielsen, P.M.: Bioinformatics, multi-scale modeling and the IUPS Physiome project. Brief Bioinform. 9(4), 333–343 (2008)
Hunter, P.J., Nielsen, P.M.: A strategy for computational integrative physiology. Physiology 20, 316–325 (2005)
Vadakkumpadan, F., Rantner, L., Tice, B., Boyle, P., Prassl, A., Vigmond, E., Plank, G., Trayanova, N.A.: Image-based models of cardiac structure with applications in arrhythmia and defibrillation studies. J. Electrocardiology 42(2), 15 (2009)
Chinchapatnam, P., et al.: Model-Based imaging of cardiac apparent conductivity and local conduction velocity for planning of therapy. IEEE Trans. Med. Imaging 27(11), 1631–1642
Aliev, R., Panfilov, A.V.: A simple two variables model of cardiac excitation. Chaos, Soliton and Fractals 7(3), 293–301 (1996a)
Aliev, R., Panfilov, A.V.: Modeling of heart excitation patterns caused by a local inhomogeneity. Journal of Theoretical Biology 181, 33–40 (1996b)
Nash, M.P., Panfilov, A.V.: Electromechanical model of the excitable tissue to study reentrant cardiac arrhythmias. Progress in Biophysics and Molecular Biology 85, 501–510 (2004)
Pop, M., Sermesant, M.M., Mansi, T., Crystal, E., Fefer, P., McVeigh, E.R., Dick, A.J., Ayache, N., Wright, G.A.: Characterization of postinfarct scars in porcine models: a combined experimental and theoretical study. In: Ebner, M., O’Neill, M., Ekárt, A., Vanneschi, L., Esparcia-Alcázar, A.I. (eds.) EuroGP 2007. LNCS, vol. 4445, pp. 1–10. Springer, Heidelberg (2007)
Helm, P., Tseng, H.J., Younes, L., McVeigh, E.R., Winslow, R.L.: Ex-vivo 3D diffusion tensor imaging and quantification of cardiac laminar structure. Magn. Res. Med. 54, 850–859 (2005)
Pop, M., Sermesant, M., Liu, G., Relan, J., Mansi, T., Soong, A., Truong, M., Fefer, P., McVeigh, E.R., Delingette, H., Dick, A., Ayache, N., Wright, G.A.: Construction of 3D MR image-based computer models of pathologic hearts, augmented with histology and optical imaging to characterize the action potential propagation (under revision at Medical Image Analysis (2010)
Peyrat, J.-M., Sermesant, M., Delingette, H., Pennec, X., Xu, C., McVeigh, E.R., Ayache, N.: A computational framework for the statistical analysis of cardiac diffusion tensors. IEEE Tran. Medical Imaging 26(11), 1500–1514 (2005)
Harrington, K., Rodriguez, F., Cheng, A., Langer, F., Ashikaga, H., Daughters, G., Criscione, J., Ingels, N., Miller, D.: Direct measurement of transmural laminar architecture in the antero-lateral wall of the ovine left ventricles. Am. J. Physiol. Heart Circ. Physiol. 288(3), H1324 (2005)
Wu, M.T., Tseng, W.Y., Su, M.Y., Chiou, K.R., Reese, T.G., Yang, C.F.: Diffusion tensor MRI mapping of the fiber architecture remodeling in human myocardium after infarction. Circulation 114, 1036–1045 (2006)
Pop, M., Ramanan, V., Yang, Y., Ghugre, N., Qiang, B., McVeigh, E.R., Dick, A., Wright, G.A.: Comparison of scar morphology by 3D multi contrast LE-MRI, 3D DW-MRI and histology in a pig model of chronic infarct. In: Proc. of the 18th ISMRM Conference, Stockholm, Sweden (2010)
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Authors and Affiliations
Sunnybrook Research Institute, Univ. of Toronto, Canada
Mihaela Pop, Eugene Crystal, Sudip Ghate, Ilan Lashevsky, Beiping Qiang & Graham A. Wright
INRIA (Sophia-Antipolis), France
Maxime Sermesant & Nicholas Ayache
Div. Imaging Science, KCL, London, UK
Maxime Sermesant
Siemens Molecular Imaging, Oxford, UK
Jean-Marc Peyrat
Siemens Corporate Research, Princeton, NJ, USA
Tommaso Mansi
Johns Hopkins University, Baltimore, USA
Elliot R. McVeigh
- Mihaela Pop
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- Maxime Sermesant
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- Sudip Ghate
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- Ilan Lashevsky
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- Beiping Qiang
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- Elliot R. McVeigh
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- Nicholas Ayache
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Editors and Affiliations
Rutgers University, 08854, Piscataway, NJ, USA
Dimitris N. Metaxas
Department of Radiology, New York University, 560 First Avenue, 10016, New York, NY, USA
Leon Axel
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Pop, M.et al. (2011). A 3D MRI-Based Cardiac Computer Model to Study Arrhythmia and Its In-vivo Experimental Validation. 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_25
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