A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction

1 Mar 2017Jo SchlemperJose CaballeroJoseph V. HajnalAnthony PriceDaniel Rueckert

The acquisition of Magnetic Resonance Imaging (MRI) is inherently slow. Inspired by recent advances in deep learning, we propose a framework for reconstructing MR images from undersampled data using a deep cascade of convolutional neural networks to accelerate the data acquisition process... (read more)

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