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The code for paper 'DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution'

License: GNU General Public License v3.0

Python 100.00%

deepmri's Introduction

DeepMRI

DeepMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution

By Shanshan Wang, Huitao Cheng, Taohui Xiao, Leslie Ying, Ziwen Ke, Hairong Zheng, Dong Liang*

This repository contains the implementation of DeepMRI for parallel MR imaging using Tensorflow-gpu. Test code for Matlab and test data are also included. For a quick test, the trained weights can be used. The folder saved_model_vn contains the model of the trained VN dataset for the knee images.

The architecture of DeepMRI for parallel MR imaging

The architecture of DeepMRI

Reconstruction Results by classical SPIRiT/L1-SPIRiT and the proposed method

Reconstruction

More results can be found in the paper.

Dependencies

  • Python3
  • Tensorflow
  • numpy scipy

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