Fully automated measurement of aortic pulse wave velocity from routine cardiac MRI studies
We describe a fully automated method for measuring PWV from standard cardiac MRI localizers and a single phase contrast imaging plane. The method is robust and can be applied to routine clinical scans, and could unlock the potential of measuring PWV in large-scale clinical and population studies. All models and deployment codes are available online.
Authors
- Daniel S. Knight (ORCID: https://orcid.org/0000-0002-0512-3961)
- Karan Punjabi (ORCID: https://orcid.org/0000-0003-0361-0640)
- Jennifer Anne Steeden (ORCID: https://orcid.org/0000-0002-9792-2022)
- Alun David Hughes (ORCID: https://orcid.org/0000-0001-5432-5271)
- Vivek Muthurangu (ORCID: https://orcid.org/0000-0002-4292-6456)
- Rhodri Davies (ORCID: https://orcid.org/0000-0001-7630-7517)
- Tina Yao (ORCID: https://orcid.org/0000-0003-0470-311X)
- Nikhil Paliwal (ORCID: https://orcid.org/0000-0002-0396-4409)
- Yue Jiang (ORCID: https://orcid.org/0000-0002-9427-6627)
Institutions
- St Bartholomew's Hospital (GB)
- Energy Institute (GB)
- The Royal Free Hospital (GB)
- The London College (GB)
- University College London (GB)
Publication Details
- Journal
- Magnetic Resonance Imaging
- Published
- 2025-05-30
- DOI
- https://doi.org/10.1016/j.mri.2025.110442
- Primary Topic
- Cardiovascular Health and Disease Prevention
- Type
- article
- Field-Weighted Citation Impact
- 0.00