Using Spatio-Temporal Correlation Based Hybrid Plug-and-Play Priors (SEABUS) for Accelerated Dynamic Cardiac Cine MRI

Abstract

The plug-and-play prior (P\(^{3}\)) is known as denoising prior which has been successfully applied to various imaging problems. In this work for accelerated dynamic cardiac cine magnetic resonance imaging (Dcc-MRI), we introduce a Spatio-tEmporal correlAtion based hyBrid plUg-and-play priorS (SEABUS) integrating local P\(^{3}\) and nonlocal P\(^{3}\), which further help both suppress aliasing artifacts and capture dynamic features. Specifically, the local P\(^{3}\) enforces the pixel-wise edge-orientation consistency by reference frame guided multi-scale orientation projection (MSOP) in a subset of few adjacent frames. The nonlocal P\(^{3}\) constrains the cube-wise anatomic-structure similarity by cube matching and 4D filtering (CM4D) in all frames. By composite splitting algorithm (CSA), the SEABUS is coupled into fast iterative shrinkage-thresholding algorithm (FISTA) and then a new Dcc-MRI approach that is named as SEABUS-FCSA is proposed. The experimental results on the in-vivo cardiac MR datasets demonstrated the efficiency and potential of the proposed SEABUS-FCSA approach.