Multi‐Frame Image Registration for Automated Ventricular Function Assessment in Single Breath‐Hold Cine MRI Using Limited Labels
A comprehensive ventricular function analysis can be performed using highly accelerated cine MR data with minimal annotation effort. This multitasking strategy has the potential to enable more accessible cardiac function analysis within a single breath-hold.
Authors
- Andreas Lingg (ORCID: https://orcid.org/0000-0001-8583-8627)
- Daniel Rueckert (ORCID: https://orcid.org/0000-0002-5683-5889)
- Thomas Küstner (ORCID: https://orcid.org/0000-0002-0353-4898)
- Patrick Krumm (ORCID: https://orcid.org/0000-0003-1705-8439)
- Paxstan Cassal Paulson
- Kerstin Hammernik (ORCID: https://orcid.org/0000-0002-2734-1409)
- Sergios Gatidis (ORCID: https://orcid.org/0000-0002-6928-4967)
- Aya Ghoul (ORCID: https://orcid.org/0009-0002-1221-1756)
Institutions
- University of Stuttgart (DE)
- Imperial College London (GB)
- Technical University of Munich (DE)
- University of Tübingen (DE)
- Stanford University (US)
Publication Details
- Journal
- Magnetic Resonance in Medicine
- Published
- 2025-10-18
- DOI
- https://doi.org/10.1002/mrm.70137
- Citations
- 4
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 5.44