Seunghoon Nam1,2, Mehmet Akakaya1,2, Peng Hu2, Warren Manning2, Vahid Tarokh1, Reza Nezafat2
1Harvard University, Cambridge, MA, United States; 2Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
MRI reconstruction methods combining parallel MRI and compressed sensing (CS) have been recently proposed to accelerate image acquisition and showed great promise. Inherited from parallel MRI, these techniques utilize the coil sensitivity information in their reconstruction procedure. The quality of reconstructed image is affected by the quality of coil sensitivity estimation and different reconstruction methods have different susceptibilities to the coil sensitivity estimation depending on how the coil sensitivity is used in their reconstruction. In this study, we investigate the impact of coil sensitivity estimation on two reconstruction methods: SparseSENSE and distributed CS-SENSE.