An End-to-End Recurrent Neural Network for Radial MR Image Reconstruction
Recent advances in deep learning have contributed greatly to the field of parallel MR imaging, where a reduced amount of <i>k-space</i> data are acquired to accelerate imaging time. In our previous work, we have proposed a deep learning method to reconstruct MR images directly from <i...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/19/7277 |