A novel deep learning approach for 4D MRI reconstruction that exploits space-time-coil correlations and motion preservation instead of k-space data consistency to accelerate the acquisition of golden-angle radial data and enable sub-second reconstruction times in dynamic MRI.
Files located at: https://www.kaggle.com/datasets/victormurray/movienet
Please, use this citation:
Murray V, Siddiq S, Crane C, El Homsi M, Kim T, Wu C, Otazo R. Movienet: Deep space-time-coil reconstruction network without k-space data consistency for fast motion-resolved 4D MRI. Magn Reson Med. 2024; 91: 600โ614. doi: 10.1002/mrm.29892