Complementary time‐frequency domain networks for dynamic parallel MR image reconstruction
Complementary time‐frequency domain networks for dynamic parallel MR image reconstruction
Purpose To introduce a novel deep learning‐based approach for fast and high‐quality dynamic multicoil MR reconstruction by learning a complementary time‐frequency domain network that exploits spatiotemporal correlations simultaneously from complementary domains. Theory and Methods Dynamic parallel MR image reconstruction is formulated as a multivariable minimization problem, where the data are …