title: Automatic Parameterization Strategy for Cardiac Electrophysiology Simulations.
abstract: Driven by recent advances in medical imaging, image segmentation and numerical techniques, computer models of ventricular electrophysiology account for increasingly finer levels of anatomical and biophysical detail. However, considering the large number of model parameters involved parameterization poses a major challenge. A minimum requirement in combined experimental and modeling studies is to achieve good agreement in activation and repolarization sequences between model and experiment or patient data. In this study, we propose basic techniques which aid in determining bidomain parameters to match activation sequences. An iterative parameterization algorithm is implemented which determines appropriate bulk conductivities which yield prescribed velocities. In addition, a method is proposed for splitting the computed bulk conductivities into individual bidomain conductivities by prescribing anisotropy ratios.
authors.affiliation: Institute of Biophysics, Medical University of Graz, Graz, Austria.
authors.forename: Caroline Mendonca
authors.initials: CM
authors.lastname: Costa
authors.affiliation: Department of Computer Science, Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil.
authors.forename: Elena
authors.initials: E
authors.lastname: Hoetzl
authors.affiliation: Oxford e-Research Centre, University of Oxford, Oxford, UK.
authors.forename: Bernardo Martins
authors.initials: BM
authors.lastname: Rocha
authors.forename: Anton J
authors.initials: AJ
authors.lastname: Prassl
authors.forename: Gernot
authors.initials: G
authors.lastname: Plank
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