论文标题
XPDNET用于MRI重建：2020 FastMRI挑战的应用程序
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge
论文作者
论文摘要
我们提出了一个新的神经网络XPDNET，用于从定期采样不足的多线圈数据中进行MRI重建。我们通过从MRI重建和计算机视觉中获取最佳实践来告知该网络的设计。我们表明，该网络可以实现最新的重建结果，如它在FastMRI 2020挑战中的第二名所示。
We present a new neural network, the XPDNet, for MRI reconstruction from periodically under-sampled multi-coil data. We inform the design of this network by taking best practices from MRI reconstruction and computer vision. We show that this network can achieve state-of-the-art reconstruction results, as shown by its ranking of second in the fastMRI 2020 challenge.
