Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks

Conclusion: Comparisons using single and multiple coil acquisition show that the proposed residual network provides good reconstruction results with orders of magnitude faster computational time than existing CS methods. Significance: The proposed deep learning framework may have a great potential for accelerated MR reconstruction by generating accurate results immediately.
Source: IEEE Transactions on Biomedical Engineering - Category: Biomedical Engineering Source Type: research