Jointly Learning Non-Cartesian <i>k</i>-Space Trajectories and Reconstruction Networks for 2D and 3D MR Imaging through Projection
Compressed sensing in magnetic resonance imaging essentially involves the optimization of (1) the sampling pattern in <i>k</i>-space under MR hardware constraints and (2) image reconstruction from undersampled <i>k</i>-space data. Recently, deep learning methods have allowed...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-01-01
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| Series: | Bioengineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5354/10/2/158 |