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Related Experiment Video

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Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
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Constructing a Human Atrial Fibre Atlas.

Caroline H Roney1, Rokas Bendikas2, Farhad Pashakhanloo3

  • 1School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK. caroline.roney@kcl.ac.uk.

Annals of Biomedical Engineering
|May 28, 2020
PubMed
Summary

Creating an atrial fiber atlas from DTMRI data helps accurately model patient-specific atrial electrophysiology and mechanics. This atlas improves predictions of atrial arrhythmias, especially in the left atrium.

Keywords:
AnisotropyAtrial activationAtrial fibresAtrial fibrillation

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Area of Science:

  • Cardiac Electrophysiology
  • Computational Biology
  • Medical Imaging

Background:

  • Atrial anisotropy influences electrical propagation and mechanics, but patient-specific fiber data is lacking.
  • Accurate atrial models require precise fiber field assignments, which is currently challenging.

Purpose of the Study:

  • To construct an atrial fiber atlas from high-resolution DTMRI data.
  • To develop a method for automatically assigning patient-specific fiber fields to atrial models.
  • To assess the impact of fiber fields on electrophysiology simulation predictions.

Main Methods:

  • Extended an atrial coordinate system to standardize anatomical mapping.
  • Calculated average fiber fields and expressed them within the standardized system.
  • Simulated paced activation times and electrical driver locations during atrial fibrillation (AF) using various fiber maps and anatomical models.

Main Results:

  • Patient-specific fiber fields had a minor effect on average activation times but a larger impact on maximum differences.
  • Fiber fields significantly influenced phase singularity density maps, crucial for arrhythmia modeling.
  • Specific fiber fields (dataset 1 for LA, average for RA) optimally predicted arrhythmia properties in bilayer models.

Conclusions:

  • The developed atrial fiber atlas and assignment methodology improve the accuracy of patient-specific atrial models.
  • Fiber field direction is critical for accurate arrhythmia simulations, particularly in the left atrium.
  • Recommended fiber field assignments for left and right atrial simulations enhance predictive power for atrial fibrillation.