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| Zugriffsnummer | 56048 |
| Dokumenttyp | Konferenzartikel |
| Sprache | Englisch |
| Titel | Zero-shot unsupervised motion-correction for cardiac super-resolution T1 mapping |
| Autor(in); Institution |
Guastini, Mara; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin
|
| Quelle/Jahr | Proceedings of the International Society for Magnetic Resonance in Medicine:(2026) |
| Availability | [online only] |
| ISSN | 1065-9889 (online) |
| URL | |
| Verlag | ISMRM |
| Konferenzangaben | Annual Meeting of the ISMRM, Capetown, 9-14, Mai, 2026, South Africa |
| Freie Schlagworte | deep learning ; motion correction ; cardiac ; T1 mapping ; super resolution |
| Zusammenfassung | Cardiac T1 mapping provides diagnostic information about tissue properties. A major challenge is the restricted spatial resolution caused by respiratory and cardiac motion and limited acquisition time. Standard 2D protocols acquire one slice per breath-hold, yielding high in-plane but poor through-plane resolution (6–8 mm). Existing 3D T1 mapping methods also usually do not achieve high isotropic resolution. |
