Peng Lai1, Michael Lustig2,3, Anja CS. Brau1, Shreyas Vasanawala4
1Applied Science Laboratory, GE Healthcare, Menlo Park, CA, United States; 2Electrical Engineering, Stanford University, Stanford, CA, United States; 3Electrical Engineering and Computer Science, University of California, Berkeley, CA, United States; 4Radiology, Stanford University, Stanford, CA, United States
This work developed a new kt method, kt SPIRiT, for highly accelerated cardiac cine imaging. kt SPIRiT exploits both k-space correlations (parallel imaging) and intrinsic spatiotemporal sparsity (compressed sensing) in dynamic images and supports both prospective and retrospective cardiac gating. The proposed method was compared with kt GRAPPA and kt SPARSE on 6 volunteers. Based on our visual assessment and quantitative analysis, kt SPIRiT can improve image quality and reconstruction accuracy compared to kt GRAPPA and kt SPARSE and provide results similar to full k-space reconstruction at high acceleration factors.