Abstract
Experimental recordings of transmural activation in the human left ventricle show variability in recorded activation times. In this paper we demonstrate a framework for fitting the conductivity tensor of a monodomain model to reproduce activation times for an individual experiment whilst taking into account uncertainty in the fibre orientation. By directly registering anatomical features onto the difference between simulated and experimental results, we are then able to identify structural heterogeneities which impact on conduction in the left ventricle.
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Bueno-Orovio, A., Hanson, B., Gill, J., Taggart, P., Rodríguez, B.: Left-to-right ventricular differences in rate adaptation transiently increase pro-arrhythmic risk following rate acceleration. PLoS ONE 7(12), e52234 (2012)
Lou, Q., Fedorov, V., Glukhov, A., Moazami, N., Fast, V., Efimov, I.: Transmural heterogeneity and remodeling of ventricular excitation-contraction coupling in human heart failure. Circulation 123, 1881–1890 (2011)
Glukhov, A., Fedorov, V., Lou, Q., Janks, D., Ravikumar, V., Kalish, P., Scheussler, R., Moazami, N., Efimov, I.: Conduction remodeling in human end-stage nonischemic left ventricular cardiomyopathy. Circulation 125, 1835–1847 (2012)
Eggen, M., Swingen, C., Iaizzo, P.: Analysis of fiber orientation in normal and failing human hearts using diffusion tensor MRI. In: IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009, pp. 642–645 (2009)
Laughner, J., Ng, F., Sulkin, M., Arthur, M., Efimov, I.: Processing and Analysis of Cardiac Optical Mapping Data Obtained with Potentiometric Dyes. Am. J. Physiol. Heart Circ. Physiol. 303(7), H753–H765 (2012)
Pitt-Francis, J., et al.: Chaste: A test-driven approach to software development for biological modelling. Comp. Phys. Commun. 180, 2452–2471 (2009)
Bernabeu, M., Bishop, M., Pitt-Francis, J., Gavaghan, D., Grau, V., Rodríguez, B.: High performance computer simulations for the study of biological function in 3D heart models incorporating fibre orientation and realistic geometry at para-cellular resolution. In: Computers in Cardiology, pp. 721–724 (September 2008)
Caldwell, B., Trew, M., Sands, G., Hooks, D., LeGrice, I., Smaill, B.: Three distinct directions of intramural activation reveal nonuniform side-to-side electrical coupling of ventricular myocytes. Circ. Arrhythmia Electrophysiol. 2, 433–440 (2009)
Relan, J., Pop, M., Delingette, H., Wright, G., Ayache, N., Sermesant, M.: Personalization of a cardiac electrophysiology model using optical mapping and MRI for prediction of changes with pacing. IEEE Trans. Biomed. Eng. 58(12), 3339–3349 (2011)
Walmsley, J., Rodríguez, J., Mirams, G., Burrage, K., Efimov, I., Rodríguez, B.: mRNA expression levels predict cellular electrophysiological remodelling in failing human hearts: A population based simulation study. PLoS ONE 8, e56359 (2013)
Wallman, M., Smith, N., Rodríguez, B.: A comparative study of graph-based, eikonal and monodomain simulations for the estimation of cardiac activation times. IEEE Trans. Biomed. Eng. 59(6), 1739–1748 (2012)
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Walmsley, J., Mirams, G.R., Efimov, I.R., Burrage, K., Rodriguez, B. (2013). Estimation of Conductivity Tensors from Human Ventricular Optical Mapping Recordings. In: Ourselin, S., Rueckert, D., Smith, N. (eds) Functional Imaging and Modeling of the Heart. FIMH 2013. Lecture Notes in Computer Science, vol 7945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38899-6_27
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DOI: https://doi.org/10.1007/978-3-642-38899-6_27
Publisher Name: Springer, Berlin, Heidelberg
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