Technical Name | Reconstruction of Accelerated MRI using Deep Learning | ||
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Project Operator | National Cheng Kung University | ||
Project Host | 趙梓程 | ||
Summary | A deep neural network is trained with the simulated undersampled MRI data for the reconstruction of fast MRI strategies. Subsequently, the trained network can be used to reconstruct the data acquired by the designated fast MRI strategy. |
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Scientific Breakthrough | - |
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Industrial Applicability | - |
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Keyword | __- |