The DOI matches its Crossref record; 110 of the 111 references it cites were found in a registry or an index.
A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations
Open accessAbstract
Computational models of the heart are increasingly being used in the development of devices, patient diagnosis and therapy guidance. While software techniques have been developed for simulating single hearts, there remain significant challenges in simulating cohorts of virtual hearts from multiple patients. To facilitate the development of new simulation and model analysis techniques by groups without direct access to medical data, image analysis techniques and meshing tools, we have created the first publicly available virtual cohort of twenty-four four-chamber hearts. Our cohort was built from heart failure patients, age 67±14 years. We segmented four-chamber heart geometries from end-diastolic (ED) CT images and generated linear tetrahedral meshes with an average edge length of 1.1±0.2mm. Ventricular fibres were added in the ventricles with a rule-based method with an orientation of -60° and 80° at the epicardium and endocardium, respectively. We additionally refined the meshes to an average edge length of 0.39±0.10mm to show that all given meshes can be resampled to achieve an arbitrary desired resolution. We ran simulations for ventricular electrical activation and free mechanical contraction on all 1.1mm-resolution meshes to ensure that our meshes are suitable for electro-mechanical simulations. Simulations for electrical activation resulted in a total activation time of 149±16ms. Free mechanical contractions gave an average left ventricular (LV) and right ventricular (RV) ejection fraction (EF) of 35±1% and 30±2%, respectively, and a LV and RV stroke volume (SV) of 95±28mL and 65±11mL, respectively. By making the cohort publicly available, we hope to facilitate large cohort computational studies and to promote the development of cardiac computational electro-mechanics for clinical applications.
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“For example, imaging data from 24 subjects was used in [40] to develop 24 four-chamber heart models.”
From Credibility assessment of in silico clinical trials for medical devices (2024) · cites this paper as [40]
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“Each of the 24 anatomical models represent a specific patient, although tissue material properties were defined from the literature.”
From Credibility assessment of in silico clinical trials for medical devices (2024) · cites this paper as [40]
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Cardiac Resynchronization in Chronic Heart Failure
Abraham, W. T., Fisher, W. G., Smith, A. L., Delurgio, D. B., Leon, A. R., Loh, E., Kocovic, D. Z., Packer, M., Clavell, A. L., Hayes, D. L., et al. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa013168 · Cited by 4,648
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Items 101–111 of 111
Volumetric Shape Clustering with Optimal Transport Distances
Effland, A., Rumpf, M., & Verhülsdonk, J. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-92369-2_12
Chatraie, M., Magaña, E., Shariatpanahi, S. P., Goliaei, B., & Costabal, F. S. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-94562-5_7
Lee, A., Strocchi, M., Liew, A. C., Howell, S., de Vere, F., Wijesuriya, N., Rajani, R., Rinaldi, C. A., & Niederer, S. (2026) · Heart Rhythm O2 · doi:10.1016/j.hroo.2026.02.030
Self-citationCoupled Eikonal Problems to Model Cardiac Reentries in Purkinje Network and Myocardium
Brunati, S., Bucelli, M., Piersanti, R., Dede’, L., & Vergara, C. (2026) · SIAM Journal on Scientific Computing · doi:10.1137/25m1723487 · Cited by 1
Investigating heart failure using a novel whole-heart numerical simulation
Ruan, C., Chen, L., Zhang, Z., Tian, X., & Chen, Y. (2026) · Acta Mechanica Sinica · doi:10.1007/s10409-025-25599-x
Solís-Lemus, J. A., Barrows, R. K., Rodero, C., Strocchi, M., Montarello, N., Lahoti, N., Corrado, C., Qayyum, A., Rahmani, S., Roney, C. H., et al. (2026) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1014325
Self-citationThe multi-modal digital heart: From future perspective to challenges
Zhao, X., Wang, K., & Xu, M. (2026) · Journal of Translational Internal Medicine · doi:10.1515/jtim-2026-0052
Chatraie, M., Shariatpanahi, S. P., Magaña, E., Goliaei, B., Shariatpanahi, S. P., Haase, G., Vasheghani-Farahani, A., & Costabal, F. S. (2026) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2026.109638
Sun, W., Pang, M., Zhou, Y., Yin, B., Lin, Z., Zhou, H., Chen, X., & Chen, Y. (2026) · Physics of Fluids · doi:10.1063/5.0350002
From Reduced Order Models to ATLAS: A Real‐Time Platform for Hemodynamics
Mirzaiyan, Z., Oberto, D., Siena, P., & Rozza, G. (2026) · PAMM · doi:10.1002/pamm.70258
Metadata
- Authors
- Strocchi, M., Augustin, C. M., Gsell, M. A. F., Karabelas, E., Neic, A., Gillette, K., Razeghi, O., Prassl, A. J., Vigmond, E. J., Behar, J. M., Gould, J., Sidhu, B., Rinaldi, C. A., Bishop, M. J., Plank, G., & Niederer, S. A.
- Affiliations
- King's College London (GB)
- Medical University of Graz (AT)
- Université de Bordeaux (FR)
- Corresponding author
- Strocchi, Marina
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2020-06-26
- Volume
- 15
- Issue
- 6
- Pages
- e0235145
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC7319311
- OpenAlex
- W3037817333
- Cited by
- 112
- References
- 111
- Citations by year
- 2026: 13 · 2025: 17 · 2024: 18 · 2023: 24 · 2022: 21 · 2021: 15 · 2020: 3
- FWCI
- 9.75
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Portal (King's College London) (publishedVersion, other-oa)
- HAL (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Oskar-Bordeaux (Universite de Bordeaux) (submittedVersion)
- Unipub UB Graz (Universität Graz) (submittedVersion, cc-by)
- Funders
- Engineering and Physical Sciences Research Council (EP/M012492/1, NS/A000049/1, EP/L015226/1 and EP/P01268X/1)
- British Heart Foundation (PG/15/91/31812 and PG/13/37/30280)
- Kings Health Partners London National Institute for Health Research (NIHR) Biomedical Research Centre
- H2020 Marie Skłodowska-Curie Actions (750835)
- Austrian Science Fund (PI2760-B30)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Arrhythmias and Treatments
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac pacing and defibrillation studies
- Keywords
- cardiac electromechanics, heart failure, tetrahedral meshes, ejection fraction, stroke volume
- MeSH terms
- Adult, Aged, Aged, 80 and over, Computer Simulation, Female, Heart Failure, Heart Ventricles, Humans, Male, Middle Aged, Surgical Mesh, Cohort Studies, Ventricular Function, Left, Ventricular Function, Right
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