An iterative method for solving the inverse problem in electrocardiography imaging: From body surface to heart potential

Solving the inverse problem in electrocardiography imaging (ECGI) is a challenging problem. In this work, we present an ECGI solver based on the iterative Kozlov-Maz'ya-Fomin (KMF) method. Because of the lack of gold standards data for this problem, we propose to test this method on synthetical data generated based on the bidomain state-of-the-art model. We segmented a real geometry of a 43 years old women and produced a computational geometry on which we run the forward problem body surface potentials BSPs. We analyse the reconstructed solution using the Relative error in time and space, the correlation coefficient and phase mapping procedure.