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ODE-based Deep Network for MRI Reconstruction
Our results with undersampled data demonstrate that our method can deliver higher quality images in comparison to the reconstruction methods based on the standard UNet network and Residual network.
Deep Plug-and-Play Prior for Parallel MRI Reconstruction
Our proposed reconstruction enables an increase in acceleration factor, and a reduction in acquisition time while maintaining high image quality.
Non-Learning based Deep Parallel MRI Reconstruction (NLDpMRI)
For different MRI scanner configurations using these approaches, the network must be trained from scratch every time with new training dataset, acquired under new configurations, to be able to provide good reconstruction performance.
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