Synopsis

This talk explains the concept of the deep learning-based MR image reconstruction, from the basics to the up-to-date methods. It covers image-domain deep learning, k-space-domain deep learning, cross-domain deep learning, and direct mapping. The pros and cons of each approaches are explained. Parallel imaging and parameter mapping are also included in the line of deep learning-based MR image reconstruction.