Peng Lai1, Shreyas S. Vasanawala2, Anja C.S Brau1
1Global Applied Science Laboratory, GE Healthcare, Menlo Park, CA, United States; 2Radiology, Stanford University, Stanford, CA, United States
This work analyzes the source of temporal blurring of the conventional DC removal method for tGRAPPA and ktGRAPPA and presents a modified image sparsification scheme to address the problem. The proposed method automatically identifies dynamic tissue locations and removes DC signals from static tissues only before parallel imaging reconstruction. Our invivo results from cardiac cine MRI demonstrates that this new method can reduce aliasing artifacts and improve SNR for high acceleration tGRAPPA and ktGRAPPA without losing temporal fidelity.