Why the study?
To develop a methodology that accounts for the known location of scar regions when solving the electrocardiographic imaging (ECGI) problem.
Answers are grounded in this paper and cite their sources.
Adapting Tikhonov regularization and conductivity coefficients in scar regions improves the accuracy of electrocardiographic imaging (ECGI) compared to standard methods.
We propose a methodology to take into account the location of scars in ECGI problem. The method is to consider the whole body, including blood, heart and remaining volume as a conductor with an electric current source field localized in the heart. We identify the source best matching a given body surface potential map, by solving the classical quadratic optimization problem with a Tikhonov regularization term. The method behaves better than the MFS method in presence of a scar. The correlation coefficients of the activation times around the scar are improved up to 10 % on the epicardium, and 7 % on the endocardium, by adapting the Tikhonov regularization parameter and conductivity coefficient in the scar.
No takes yet. Share an insight, caveat, or question.
Diallo et al. (2020) studied Cardiac scars in electrocardiographic imaging (ECGI). Volume method (VM) with adapted Tikhonov regularization and decreased conductivity vs. Method of fundamental solutions (MFS) was evaluated on Correlation coefficient of epicardial activation times in the presence of a scar.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: