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Abstract #1437

A New Framework for Real-Time MR Imaging by Using Time and Gradient Sparsities

Xiaoying Cai1, Feiyu Chen2, Enhao Gong3, Shi Wang4, Kui Ying4

1Biomedical Engineering, Tsinghua University, Beijing, China; 2Department of Biomedical Engineering, Tsinghua University, Beijing, China; 3Electrical Engineering, Stanford University, Stanford, CA, United States; 4Department of Engineering Physics, Tsinghua University, Beijing, China

In this study, we proposed a new framework of combining k-t FOCUSS and a nonlinear filter compressed sensing for high spatial/ temporal resolution real-time imaging by sufficiently exploring image sparsity of k-t domain and gradient. Simulation results demonstrate the proposed method performs better in eliminating artifacts and keeping structure details.