| Title: | Cardiac digital twins at scale from MRI: Open tools and representative models from ~ 55000 UK Biobank participants |
| Journal: | PLOS ONE |
| Published: | 15 Jul 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40663525/ |
| DOI: | https://doi.org/10.1371/journal.pone.0327158 |
Publication 16169
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Abstract
A cardiac digital twin is a virtual replica of a patient's heart for screening, diagnosis, prognosis, risk assessment, and treatment planning of cardiovascular diseases. This requires an anatomically accurate patient-specific 3D structural representation of the heart, suitable for electro-mechanical simulations or study of disease mechanisms. However, generation of cardiac digital twins at scale is demanding and there are no public repositories of models across demographic groups. We describe an automatic open-source pipeline for creating patient-specific left and right ventricular meshes from cardiovascular magnetic resonance images, its application to a large cohort of [Formula: see text] participants from UK Biobank, and the construction of the most comprehensive cohort of adult heart models to date, comprising 1423 representative meshes across sex (male, female), body mass index (range: 16-42 kg/m2) and age (range: 49-80 years). Our code is available at https://github.com/cdttk/biv-volumetric-meshing/tree/plos2025, and pre-trained networks, representative volumetric meshes with fibers and UVCs are available at https://doi.org/10.5281/zenodo.15649643.</p>
14 Keywords
- Aged
- Aged, 80 and over
- Biological Specimen Banks
- Female
- Heart
- Heart Ventricles
- Humans
- Imaging, Three-Dimensional
- Magnetic Resonance Imaging
- Male
- Middle Aged
- Models, Cardiovascular
- UK Biobank
- United Kingdom
13 Authors
- Devran Ugurlu
- Shuang Qian
- Elliot Fairweather
- Charlene Mauger
- Bram Ruijsink
- Laura Dal Toso
- Yu Deng
- Marina Strocchi
- Reza Razavi
- Alistair Young
- Pablo Lamata
- Steven Niederer
- Martin Bishop
1 Application
| Application ID | Title |
|---|---|
| 88878 | The cardiovascular digital twin of the adult population: defining the population ranges. |
Enabling scientific discoveries that improve human health