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Modeling Current Density Maps Using Aliev-Panfilov Electrophysiological Heart Model.

M Beheshti1, F H Foomany2, K Magtibay2

  • 1Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada. mohammadali.beheshti@ryerson.ca.

Cardiovascular Engineering and Technology
|July 1, 2016
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Summary

Current density imaging (CDI) simulations offer a novel way to study cardiac arrhythmias by visualizing internal current pathways. This approach overcomes experimental challenges, distinguishing various electrophysiological states in the heart.

Keywords:
Cardiac ElectrophysiologyCurrent density imagingDiffusion Tensor ImagingModeling

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Area of Science:

  • Cardiovascular Physiology
  • Biomedical Imaging
  • Computational Biology

Background:

  • Cardiac arrhythmia research often uses surface-based optical or electrical mapping.
  • Current density imaging (CDI) allows for in-depth analysis of intracellular current pathways.
  • Implementing CDI on beating ex vivo hearts presents significant technical challenges.

Purpose of the Study:

  • To develop and validate a simulation approach for studying current distributions in cardiac tissue.
  • To investigate the feasibility of using CDI simulations to differentiate various cardiac electrophysiological states.
  • To provide a computational tool for examining cardiac arrhythmias under experimentally difficult conditions.

Main Methods:

  • Development of a simulation framework for current density imaging (CDI).
  • Modeling of different cardiac electrophysiological states within the simulation.
  • Validation of simulation results against experimental data.

Main Results:

  • The CDI simulations successfully depicted internal current pathways in cardiac tissue.
  • Distinct cardiac electrophysiological states were distinguishable using the simulation approach.
  • Simulation outcomes were corroborated by experimental findings.

Conclusions:

  • CDI simulations provide a viable method for studying cardiac arrhythmias.
  • This computational approach overcomes limitations of experimental techniques for ex vivo beating hearts.
  • The developed method enables the investigation of cardiac electrophysiology under unique simulation conditions.