A Deep Information Sharing Network for Multi-Contrast Compressed Sensing MRI Reconstruction
Compressed sensing (CS) theory can accelerate multi-contrast magnetic resonance imaging (MRI) by sampling fewer measurements within each contrast. However, conventional optimization-based reconstruction models suffer several limitations, including a strict assumption of shared sparse support, time-c...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 28(2019), 12 vom: 09. Dez., Seite 6141-6153
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| 1. Verfasser: |
Sun, Liyan
(VerfasserIn) |
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| Weitere Verfasser: |
Fan, Zhiwen,
Fu, Xueyang,
Huang, Yue,
Ding, Xinghao,
Paisley, John |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2019
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article
Contrast Media |
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