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An Inverse Eikonal Method for Identifying Ventricular Activation Sequences from Epicardial Activation Maps.

Thomas Grandits1,2, Karli Gillette3,2, Aurel Neic3

  • 1Institute of Computer Graphics and Vision, Graz University of Technology.

Journal of Computational Physics
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Summary

This study introduces a new method to determine the heart's electrical activation sequence within the ventricles using surface measurements. The FIMIN algorithm can reconstruct this sequence, aiding personalized cardiac modeling.

Keywords:
Fast Iterative MethodFast MarchingHis-Purkinje systemInverse Eikonal

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Area of Science:

  • Computational electrophysiology
  • Cardiac modeling
  • Biomedical imaging

Background:

  • Cardiac function relies on ventricular electrical activation sequence.
  • Personalized computational models require accurate activation sequences.
  • Directly observing 3D ventricular activation is currently impossible.

Purpose of the Study:

  • To develop a novel method for identifying ventricular activation sequences from epicardial surface maps.
  • To enable patient-specific parameterization of cardiac electrophysiology models.

Main Methods:

  • Developed a method to identify earliest activation sites (EAS) and velocity tensor fields from epicardial maps.
  • Utilized an Eikonal model and regularization techniques to solve the inverse problem.
  • Tested the method on 2D models and an anatomically accurate biventricular model with varying complexity (3F and HPS).

Main Results:

  • Reconstruction of 3D ventricular activation sequence from epicardial maps is feasible.
  • The FIMIN algorithm robustly recovers the 3D activation sequence despite noise and reduced spatial resolution.
  • Achieved accuracy comparable to clinical data uncertainties.

Conclusions:

  • The FIMIN algorithm offers a robust approach to reconstruct 3D cardiac activation sequences from epicardial data.
  • This method holds potential for patient-specific parameterization of cardiac electrophysiology models.
  • The technique is suitable for current mapping system resolutions and noise levels.