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A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction
[article]
2022
arXiv
pre-print
Interventional magnetic resonance imaging (i-MRI) for surgical guidance could help visualize the interventional process such as deep brain stimulation (DBS), improving the surgery performance and patient outcome. Different from retrospective reconstruction in conventional dynamic imaging, i-MRI for DBS has to acquire and reconstruct the interventional images sequentially online. Here we proposed a convolutional long short-term memory (Conv-LSTM) based recurrent neural network (RNN), or ConvLR,
arXiv:2203.14769v2
fatcat:dvhtntb43vgj7norjy7wugcf6a