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.