In this course, we will review the recent MR researches using low rank and sparse reconstruction. First, basic compressed sensing theory for MR reconstruction method is first reviewed, after which the low-rank image model is described. Finally, sparse + low rank model is introduced as an novel image modeling for accelerated MRI and artifact removal.