One-Shot Generative Prior in Hankel-k-Space for Parallel Imaging Reconstruction
One-Shot Generative Prior in Hankel-k-Space for Parallel Imaging Reconstruction
Magnetic resonance imaging serves as an essential tool for clinical diagnosis. However, it suffers from a long acquisition time. The utilization of deep learning, especially the deep generative models, offers aggressive acceleration and better reconstruction in magnetic resonance imaging. Nevertheless, learning the data distribution as prior knowledge and reconstructing the …