Published June 14, 2025
| Version v1
Dataset
Open
Segmentation Networks and Representative Meshes from UK Biobank
Creators
- Ugurlu, Devran (Researcher)1, 2, 3
- Qian, Shuang (Researcher)1, 3
- Fairweather, Elliot (Researcher)1
- Mauger, Charlene (Researcher)1
- Ruijsink, Bram (Researcher)1, 4
- Dal Toso, Laura (Researcher)5
- Deng, Yu (Researcher)1
- Strocchi, Marina (Researcher)1, 3, 2
- Razavi, Reza (Project manager)1
- Young, Alistair (Project manager)1
- Lamata, Pablo (Project manager)1
- Niederer, Steven (Project manager)3, 2, 1
- Bishop, Martin (Project manager)1
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1.
King's College London
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2.
The Alan Turing Institute
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3.
Imperial College London
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4.
University Medical Center Utrecht
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5.
ETH Zürich
Description
We present a database of representative left and right ventricular meshes constructed from patient-specific models based on a large cohort of ~55k participants from UK Biobank. It comprises 1423 representative tetrahedral finite element meshes across sex (male, female), body mass index (range: 16 - 42 kg/m²) and age (range: 49 - 80 years).
For each mesh, it also includes:
- a realistic biventricular myocardial fibre structure
- a morphological coordinate system which describes the positions within ventricles based on (1) the apical-basal (Z), (2) transmural (ρ) (from endocardium to epicardium), (3) rotational (Φ) (anterior, anteroseptal, inferior, inferolateral, anterolateral) and (4) chamber-wise (left ventricle and right ventricle) coordinates.
We also present trained network weights and nnUNet plan and hyperparameter selection files for cine MR segmentation models trained separately for the following views: 2 chamber, 3 chamber, 4 chamber and short axis. These are supplied as a zip of relevant nnUNet files for each view: Dataset101_UKBB_LAX_2Ch.zip, Dataset102_UKBB_LAX_3Ch.zip, Dataset103_UKBB_LAX_4Ch.zip, Dataset100_UKBB_Petersen_SAX.zip.
Files
Dataset100_UKBB_Petersen_SAX.zip
Files
(113.5 GB)
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Additional details
Related works
- Is supplement to
- Publication: arXiv:2505.21019 (arXiv)
- Publication: 10.1371/journal.pone.0327158 (DOI)
Funding
- Wellcome EPSRC Centre for Medical Engineering
- Engineering and Physical Sciences Research Council
- British Heart Foundation
- Foundation for the National Institutes of Health
- European Research Council
- NIHR Imperial Biomedical Research Centre