FlowMRI-Net: A generalizable self-supervised 4D flow MRI reconstruction network
FlowMRI-Net enables fast and accurate reconstruction of highly undersampled aortic and cerebrovascular 4D flow MRI, with possible applications to other vascular territories.
Authors
- Valery Vishnevskiy (ORCID: https://orcid.org/0000-0001-5225-5791)
- Sebastian Kozerke (ORCID: https://orcid.org/0000-0003-3725-8884)
- Marco Piccirelli (ORCID: https://orcid.org/0000-0002-3107-4489)
- Luuk Jacobs (ORCID: https://orcid.org/0000-0002-8328-3450)
Institutions
- ETH Zurich (CH)
- Institute for Biomedical Engineering (CH)
- University Hospital of Zurich (CH)
Publication Details
- Journal
- Journal of Cardiovascular Magnetic Resonance
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.jocmr.2025.101913
- Citations
- 6
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 8.16