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Method for Performing Magnetic Resonance Imaging Reconstruction with Unsupervised Deep Learning
Method for Performing Magnetic Resonance Imaging Reconstruction with Unsupervised Deep Learning
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机译:无监督深度学习的磁共振成像重建方法
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摘要
A method for magnetic resonance imaging performs unsupervised training of a deep neural network of an MRI apparatus using a training set of under-sampled MRI scans, where each scan comprises slices of under-sampled, unclassified k-space MRI measurements. The MRI apparatus performs an under-sampled scan to produce under-sampled k-space data, updates the deep neural network with the under-sampled scan, and processes the under-sampled k-space data by the updated deep neural network of the MRI apparatus to reconstruct a final MRI image.
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