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Deep learning has had success with MRI reconstruction, but previously published works use real‐valued networks. The few works which have tried complex‐valued networks have not fully assessed their impact on… Click to show full abstract
Deep learning has had success with MRI reconstruction, but previously published works use real‐valued networks. The few works which have tried complex‐valued networks have not fully assessed their impact on phase. Therefore, the purpose of this work is to fully investigate end‐to‐end complex‐valued convolutional neural networks (CNNs) for accelerated MRI reconstruction and in several phase‐based applications in comparison to 2‐channel real‐valued networks.
Keywords:
phase;
convolutional neural;
mri reconstruction;
valued convolutional;
complex valued
Journal Title: Magnetic Resonance in Medicine
Year Published: 2021
Link to full text (if available)
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Journal Title: Magnetic Resonance in Medicine
Year Published: 2021
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!