Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors
The study investigates using magnitude-only measurements alongside complex data for accelerated dynamic MRI reconstruction. The authors propose C+Mag, a physics-driven deep learning method that incorporates this auxiliary magnitude information. Experiments on undersampled cine and flow MRI show that this approach improves image quality, suppresses artifacts, and better preserves phase information compared to standard methods.