Estimation of the current density in a dynamic heart model and visualization of its propagation

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Abstract

The inverse approach from MR images to electrical propagation is very novel, but difficult due to complicated processes from electrical excitation to heart contraction. A novel strategy is presented to recover cardiac electrical excitation pattern from medical image sequences and ECG data. We used MRI images to estimate the current density and visualize it on the surface of the heart model. The ECG data also be used to achieve the time synchronization when the propagation of the current density. Experiments are conducted on a set of real time MRI images, also with the real ECG data, and we get favorable results. © 2008 Springer-Verlag Berlin Heidelberg.

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Wang, L., Heng, P. A., & Tsin, W. T. (2008). Estimation of the current density in a dynamic heart model and visualization of its propagation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5128 LNCS, pp. 116–123). https://doi.org/10.1007/978-3-540-79982-5_13

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