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US 11,992,289 B2Granted
Fast real-time cardiac cine MRI reconstruction with residual convolutional recurrent neural network
AssigneeShanghai United Imaging Intelligence Co., Ltd.
InventorsZhang Chen, Xiao Chen, Shanhui Sun, Terrence Chen
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Abstract
A method includes using fully sampled retro cine data to train an algorithm, and applying the trained algorithm to real time MR cine data to yield reconstructed MR images.
Claims20
A method comprising:
- obtaining subsampled real-time magnetic resonance imaging (MRI) data associated with multiple coils;
- and
- reconstructing, using at least a residual convolutional recurrent neural network, the subsampled real-time MM data into a reconstructed MRI image, wherein the reconstructed MRI image reflects information acquired via the multiple coils and wherein the residual convolutional recurrent neural network comprises one or more bi-directional convolutional recurrent neural network cells.
A system comprising:
- computing circuitry configured to:
- obtain subsampled real-time magnetic resonance imaging (MRI) data associated with multiple coils;
- and
- reconstruct, using at least a residual convolutional recurrent neural network, the subsampled real-time MM data into a reconstructed MRI image, wherein the reconstructed MRI image reflects information acquired via the multiple coils and wherein the residual convolutional recurrent neural network comprises one or more bi-directional convolutional recurrent neural network cells.
1 more element
Dependencies are inferred from the claim text.