An automatic open-source pipeline generated patient-specific ventricular meshes from MRI for ~55,000 UK Biobank participants, yielding 1,423 representative adult heart models across demographics.
The study provides an open-source pipeline and a comprehensive public repository of 1423 representative 3D cardiac models derived from ~55,000 UK Biobank participants to facilitate electro-mechanical simulations and disease mechanism studies.
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.
Uğurlu et al. (Tue,) reported a other. Automatic open-source pipeline for cardiac digital twins was evaluated on Generation of representative volumetric meshes. An automatic open-source pipeline generated patient-specific ventricular meshes from MRI for ~55,000 UK Biobank participants, yielding 1,423 representative adult heart models across demographics.