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Proceedings Paper

Assessing influence of conductivity in heart modelling with the aim of studying cardiovascular diseases
Author(s): Rafael Sebastian; Sebastian Ordas; Gernot Plank; Blanca Rodriguez; Edward J. Vigmond; Alejandro F. Frangi
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Paper Abstract

The bidomain/monodomain equations have been widely used to model electrical activity in cardiac tissue. Here we present a sensitivity study of a crucial parameter in the bidomain model, the tissue conductivity. This study is necessary since there is no general agreement on the actual values that should be employed, mainly due to inconsistencies between the few sources of empirical information existent in the literature. Furthermore, estimates of this parameter from either imaging techniques or from experiments on isolated cardiac tissue have been inconsistent. For this study, a 3D biventricular model built from Multi-Detector Computer Tomography was used with the most relevant electrical structures, such as myocardial fiber orientation and the Purkinje system, were included. Specific ionic models for normal myocardium and for the Purkinje system were taken into account. Finite Element methods were used to solve the monodomain equation for a number of different conductivity settings. Comparative results using isochronal maps are shown in combination with statistical tests to measure changes in the sequence of electrical activation in the myocardium, conduction velocities (CV), and local activation times (LAT).

Paper Details

Date Published: 3 April 2008
PDF: 10 pages
Proc. SPIE 6916, Medical Imaging 2008: Physiology, Function, and Structure from Medical Images, 691627 (3 April 2008); doi: 10.1117/12.770258
Show Author Affiliations
Rafael Sebastian, Univ. Pompeu Fabra (Spain)
Sebastian Ordas, Univ. Pompeu Fabra (Spain)
Gernot Plank, Univ. Pompeu Fabra (United States)
Blanca Rodriguez, Univ. of Oxford (United Kingdom)
Edward J. Vigmond, Univ. of Calgary (Canada)
Alejandro F. Frangi, Univ. Pompeu Fabra (Spain)

Published in SPIE Proceedings Vol. 6916:
Medical Imaging 2008: Physiology, Function, and Structure from Medical Images
Xiaoping P. Hu; Anne V. Clough, Editor(s)

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