Published March 24, 2026 | Version v1
Dataset Restricted

Finite-element meshes of subject-specific four-chamber human heart models derived from cine MRI (5 healthy subjects)

Authors/Creators

  • 1. National Heart and Lung Institute, Imperial College London, London, United Kingdom
  • 2. Institute of Cardiovascular Science, University College London, London, United Kingdom
  • 3. Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia
  • 4. School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Kensington, New South Wales, Australia
  • 5. Cardiology Department, St Vincent's Hospital, Darlinghurst, New South Wales, Australia
  • 6. King's College London, London, United Kingdom
  • 7. ROR icon Queen Mary University of London
  • 8. Gottfried Schatz Research Centre, Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria

Description

This dataset contains finite-element meshes of five subject-specific four-chamber human heart models reconstructed from cine magnetic resonance imaging (MRI). The meshes were generated as part of a study investigating cohort-level electromechanical behaviour and global sensitivity analysis in healthy subjects.

Each model includes anatomically detailed representations of the left and right ventricles, left and right atria, and major vessels. The geometries were segmented using a hybrid deep-learning and semi-manual pipeline, followed by surface processing and tetrahedral meshing. Blood pool regions were excluded, and the meshes represent myocardial and relevant structural domains used for electromechanical simulations.

Meshes are provided in VTK format and are compatible with standard visualisation and simulation tools (e.g., ParaView, CARPentry). The dataset includes five individual cases corresponding to the subjects analysed in the associated study

Files

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Additional details

Dates

Available
2026-03-24
The record is publicly accessible; however, access to the files is restricted. Requests for access can be made via s.rahmani@imperial.ac.uk or s.rahmani@ucl.ac.uk .