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RECONSTRUCTION OF MAGNETIC-RESONANCE DATASETS USING MACHINE LEARNING
RECONSTRUCTION OF MAGNETIC-RESONANCE DATASETS USING MACHINE LEARNING
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机译:利用机器学习重建磁共振数据集
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摘要
A method includes determining an initial magnetic resonance imaging, MRI, dataset (201) in image domain based on an initial reconstruction of MRI measurement data obtained using an undersampling scheme (400); and determining patches (231-233) of the initial MRI dataset (201) in accordance with a patching scheme, the patching scheme depending on the undersampling scheme (400); and, for each one of the patches (231-233): applying a machine-learned algorithm to obtain a respective patch (231-233) of a reconstructed MRI dataset, the machine-learned algorithm depending on the undersampling scheme (400); and combining the patches (231-233) of the reconstructed MRI dataset.
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