Cardiac digital twins at scale from MRI: Open tools and representative models from ~ 55000 UK Biobank participants.
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-mecha...
Saved in:
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0327158 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849317049712508928 |
|---|---|
| author | 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 |
| author_facet | 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 |
| author_sort | Devran Ugurlu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-612080eab9b641119ff93bc9fd2cc962 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-612080eab9b641119ff93bc9fd2cc9622025-08-20T03:51:20ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01207e032715810.1371/journal.pone.0327158Cardiac digital twins at scale from MRI: Open tools and representative models from ~ 55000 UK Biobank participants.Devran UgurluShuang QianElliot FairweatherCharlene MaugerBram RuijsinkLaura Dal TosoYu DengMarina StrocchiReza RazaviAlistair YoungPablo LamataSteven NiedererMartin BishopA 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.https://doi.org/10.1371/journal.pone.0327158 |
| spellingShingle | 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 Cardiac digital twins at scale from MRI: Open tools and representative models from ~ 55000 UK Biobank participants. PLoS ONE |
| title | Cardiac digital twins at scale from MRI: Open tools and representative models from ~ 55000 UK Biobank participants. |
| title_full | Cardiac digital twins at scale from MRI: Open tools and representative models from ~ 55000 UK Biobank participants. |
| title_fullStr | Cardiac digital twins at scale from MRI: Open tools and representative models from ~ 55000 UK Biobank participants. |
| title_full_unstemmed | Cardiac digital twins at scale from MRI: Open tools and representative models from ~ 55000 UK Biobank participants. |
| title_short | Cardiac digital twins at scale from MRI: Open tools and representative models from ~ 55000 UK Biobank participants. |
| title_sort | cardiac digital twins at scale from mri open tools and representative models from 55000 uk biobank participants |
| url | https://doi.org/10.1371/journal.pone.0327158 |
| work_keys_str_mv | AT devranugurlu cardiacdigitaltwinsatscalefrommriopentoolsandrepresentativemodelsfrom55000ukbiobankparticipants AT shuangqian cardiacdigitaltwinsatscalefrommriopentoolsandrepresentativemodelsfrom55000ukbiobankparticipants AT elliotfairweather cardiacdigitaltwinsatscalefrommriopentoolsandrepresentativemodelsfrom55000ukbiobankparticipants AT charlenemauger cardiacdigitaltwinsatscalefrommriopentoolsandrepresentativemodelsfrom55000ukbiobankparticipants AT bramruijsink cardiacdigitaltwinsatscalefrommriopentoolsandrepresentativemodelsfrom55000ukbiobankparticipants AT lauradaltoso cardiacdigitaltwinsatscalefrommriopentoolsandrepresentativemodelsfrom55000ukbiobankparticipants AT yudeng cardiacdigitaltwinsatscalefrommriopentoolsandrepresentativemodelsfrom55000ukbiobankparticipants AT marinastrocchi cardiacdigitaltwinsatscalefrommriopentoolsandrepresentativemodelsfrom55000ukbiobankparticipants AT rezarazavi cardiacdigitaltwinsatscalefrommriopentoolsandrepresentativemodelsfrom55000ukbiobankparticipants AT alistairyoung cardiacdigitaltwinsatscalefrommriopentoolsandrepresentativemodelsfrom55000ukbiobankparticipants AT pablolamata cardiacdigitaltwinsatscalefrommriopentoolsandrepresentativemodelsfrom55000ukbiobankparticipants AT stevenniederer cardiacdigitaltwinsatscalefrommriopentoolsandrepresentativemodelsfrom55000ukbiobankparticipants AT martinbishop cardiacdigitaltwinsatscalefrommriopentoolsandrepresentativemodelsfrom55000ukbiobankparticipants |