Keywords: Image acquisition: Reconstruction
This talk will first introduce the basics of low-rank methods including low-rank matrices, low-rank approximation and how low-rankness could help to regularize MRI reconstruction. Then, an overview of low-rank MRI reconstruction approaches will be provided including general low-rank and structured low-rank methods. Finally, emerging deep learning based low-rank methods will be briefly introduced followed by a summary of this talk.