Joint Multi-Shot Multi-Channel Image Reconstruction in Compressive Diffusion Weighted MR Imaging

Single-Shot Echo-Planar-Imaging (SS-EPI) is the most common method to acquire Diffusion-Weighted-Imaging (DWI) data in clinic due to its immunity to patient motion. However, its image quality is impacted by geometric distortions and poor spatial resolution. While Multi-Shot EPI (MS-EPI) has the potential to achieve high spatial resolution, it suffers from significant motion-induced artifacts. Partially Parallel Imaging (PPI) reconstruction techniques such as Sensitivity-Encoding (SENSE) has shown its ability to improve the image quality of MRI. In this paper we proposed a SENSE based model to reconstruct DW images from MS-EPI data by solving a minimization problem. Under the condition when the motion is not significant large, We assume the images reconstructed from different shots are low rank except for sparse errors and our model is solved by an accelerated Alternating direction method of multipliers (AADMM) scheme.