A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction.
IEEE Transactions on Medical Imaging(2018)
摘要
Inspired by recent advances in deep learning, we propose a framework for reconstructing dynamic sequences of 2-D cardiac magnetic resonance (MR) images from undersampled data using a deep cascade of convolutional neural networks (CNNs) to accelerate the data acquisition process. In particular, we address the case where data are acquired using aggressive Cartesian undersampling. First, we show that...
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关键词
Image reconstruction,Two dimensional displays,Redundancy,Imaging,Neural networks,Machine learning,Compressed sensing
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