Published September 17, 2025 | Version v0
Publication Open

An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology

Description

Repository Overview

This repository accompanies the paper An efficient end-to-end computational framework for the generation of ECG-calibrated volumetric models of human atrial electrophysiology, published in Medical Image Analysis.

It provides four volumetric meshes of biatrial models together with a reference torso built around each model. These were derived from clinical data and are distributed along with the necessary parameters and data files to reproduce the results presented in Section 3.8 of the study.

Data Description

For each patient Si, i = 1,…,4, the following data are included:

  • Volumetric biatrial meshesSi/mshdata/Si_atria.elem
    Meshes have an average resolution of 0.9 mm and are suitable for Eikonal-based cardiac electrophysiology (CEP) simulations.

  • Torso and biatrial meshesSi/mshdata/Si_atria_torso.vtk

  • Lead field solutionsSi/leadfield/Si_electrode.dat
    Contain data for the nine electrodes {R, L, F, V1, …, V6} extracted from the volumetric biatrial meshes.

  • Calibrated activation sitesSi/activation_sites/activation_site.vtx
    Lists of vertices in the volumetric biatrial meshes that reproduce the study results.

  • Parameter filesSi/simdata/Si_parameters.par
    Define simulation parameters for reproducing the study using the openCARP software. These files link the meshes and activation sites for CEP simulations.

  • Activation sequencesSi/simdata/vm.igb
    Represent the evolution of the transmembrane potential over time.

  • Activation mapsSi/simdata/vm_activation_seq.dat
    Provide the activation sequences obtained in the study.

  • Position of the electrodes on the torso: electrode_nodes.json
    Lists of vertices in the volumetric biatrial-torso mesh corresponding to the electrodes position used to compute the lead field.

Prerequisites for Reproducing the Study

  • Software compatibility: All data formats are compatible with openCARP (release v18.1).

  • Running simulations: The Eikonal - solver can be executed to reproduced the distributed results using:
    openCARP +F Si_parameters.par

  • Electrocardiogram (ECG) reconstruction: Unfiltered ECGs for each patient can be obtained by combining the activation sequence (vm.igb) with the corresponding lead field, and integrating over the atrial domain [1].

  • Visualization: Meshes and results can be visualized using the meshalyzer software.

  • Format conversion: Meshes can be converted to .vtk, .stl, or openCARP-compatible formats using meshtool.

How to Cite

When using the data provided in this repository, please cite the paper “An efficient end-to-end computational framework for the generation of ECG-calibrated volumetric models of human atrial electrophysiology.”

References

[1] Potse, M., 2018. Scalable and accurate ECG simulation for reaction-diffusion models of the human heart. Frontiers in physiology 9, 370.

Files

atria_models_zenodo.zip

Files (921.5 MB)

Name Size Download all
md5:5258e6c5c5bcd349e3e00c05bc615565
921.5 MB Preview Download

Additional details

Funding

European Union
TwinCare-AF 101148636
FWF Austrian Science Fund
DAWN-AF 10.55776/I6476
FWF Austrian Science Fund
10.55776/P37063
Foundation for the National Institutes of Health
1R01HL158667