Deep Learning Virtual Contrast‐Enhanced T1 Mapping for Contrast‐Free Myocardial Extracellular Volume Assessment
Generation of vECV on the basis of native T1 maps is feasible. Multicenter training data are required to further enhance generalizability of vECV in amyloidosis.
Authors
- Maike Theis (ORCID: https://orcid.org/0000-0003-2666-9928)
- Daniel Kuetting (ORCID: https://orcid.org/0000-0001-6520-1020)
- Georg Nickenig
- Julian Alexander Luetkens (ORCID: https://orcid.org/0000-0002-7715-4636)
- Lenhard Pennig (ORCID: https://orcid.org/0000-0002-6606-9313)
- Claus Christian Pieper (ORCID: https://orcid.org/0000-0002-0893-1200)
- Wolfgang Block (ORCID: https://orcid.org/0000-0003-3095-6356)
- Ulrike Attenberger (ORCID: https://orcid.org/0000-0002-8123-5447)
- Sebastian Nowak (ORCID: https://orcid.org/0000-0001-5175-5559)
- Alexander Isaak (ORCID: https://orcid.org/0000-0003-2016-6166)
- Sebastian Zimmer (ORCID: https://orcid.org/0000-0002-1531-2088)
- Leon Bischoff (ORCID: https://orcid.org/0000-0001-5193-5226)
- Alois M. Sprinkart (ORCID: https://orcid.org/0000-0002-1435-9562)
- Kenan Kaya
Institutions
- University Hospital Bonn (DE)
- University Hospital Cologne (DE)
Publication Details
- Journal
- Journal of the American Heart Association
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1161/jaha.124.035599
- Citations
- 4
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 1.62