MR cardiac cine plays a key role in quantifying the cardiac function. The measurement accuracy is highly dependent of both spatial and temporal resolution, which can be improved substantially by acceleration with parallel imaging. SPIRiT, a GRAPPA-like parallel imaging reconstruction, can be applied to cardiac cine by incorporating temporal sensitivity estimation (TSPIRiT). In this study, we propose to enhance MR cardiac cine using TSPIRiT with generalized data fidelity (GDF) based on the assumption that k-space signal in cardiac cine changes smoothly. Results show that the proposed method can provide better tradeoff between SNR and temporal resolution when compared with TSPIRiT and k-t SPIRiT.
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