Relationships between heart shape, function, and disease in 38,858 UK biobank participants
Automatically derived shape and motion z-scores capture more discriminative information on disease effects than standard metrics, including volumes, ejection fraction, strain and valve excursions.
Authors
- Patricia B. Munroe (ORCID: https://orcid.org/0000-0002-4176-2947)
- Julia Ramírez (ORCID: https://orcid.org/0000-0003-4130-5866)
- Alistair A. Young (ORCID: https://orcid.org/0000-0001-5702-4220)
- Avan Suinesiaputra (ORCID: https://orcid.org/0000-0003-1165-458X)
- Charlène Mauger
- Laura Dal Toso
- Richard Andrew Burns (ORCID: https://orcid.org/0000-0002-7750-4341)
- Steffen Erhard Petersen (ORCID: https://orcid.org/0000-0003-4622-5160)
- Alireza Sojoudi (ORCID: https://orcid.org/0000-0002-2727-8091)
Institutions
- University of Auckland (NZ)
- Queen Mary University of London (GB)
- Palo Alto Research Center (US)
- King's College London (GB)
- Universidad de Zaragoza (ES)
- Institute for Biomedical Engineering (CH)
- William Harvey Research Institute (GB)
Publication Details
- Journal
- Journal of Cardiovascular Magnetic Resonance
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.jocmr.2025.101919
- Primary Topic
- Cardiac Health and Mental Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- UK Research and Innovation
- Barts Charity
- National Institute for Health and Care Research
- Ministerio de Ciencia e Innovación
- National Institutes of Health
- Engineering and Physical Sciences Research Council
- Centre For Medical Engineering, King’s College London