Portal del Investigador
Self-supervised learning-based diffeomorphic non-rigid motion estimation for fast motion-compensated coronary MR angiography
Abstract
Purpose: To accelerate non-rigid motion corrected coronary MR angiography (CMRA) reconstruction by developing a deep learning based non-rigid motion estimation network and combining this with an efficient implementation of the undersampled motion corrected reconstruction.
Más información
| Título según WOS: | Self-supervised learning-based diffeomorphic non-rigid motion estimation for fast motion-compensated coronary MR angiography |
| Título según SCOPUS: | Self-supervised learning-based diffeomorphic non-rigid motion estimation for fast motion-compensated coronary MR angiography |
| Título de la Revista: | MAGNETIC RESONANCE IMAGING |
| Volumen: | 85 |
| Editorial: | Elsevier Science Inc. |
| Fecha de publicación: | 2022 |
| Página final: | 18 |
| Idioma: | English |
| DOI: |
10.1016/J.MRI.2021.10.004 |
| Notas: | ISI, SCOPUS |