One-shot Generative Prior in Hankel-k-space for Parallel Imaging Reconstruction

Understand

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 image from limited data remains challenging.