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Abstract #4391

A Combination of Linear and Nonlinear GRAPPA with Variable Density Sampling

Xinran Zhong 1,2 , Jingyuan Lyu 2 , Chuangjian Cai 1 , Kui Ying 3 , and Leslie Ying 2

1 Department of Biomedical Engineering, Tsinghua University, Beijing, Beijing, China, 2 Department of Biomedical Engineering, University at Buffalo, Buffalo, NY, United States, 3 Department of Engineering Physics, Tsinghua University, Beijing, Beijing, China

Recently a novel algorithm called nonlinear GRAPPA is proposed to improve the SNR with high acceleration factors. However, nonlinear GRAPPA usually requires more ACS lines, which limits the net acceleration factor that can be achieved. In this abstract, we present a method that combines the advantage of GRAPPA and NL-GRAPPA to achieve even higher net reduction factors than GRAPPA and NL-GRAPPA alone. Experimental results demonstrate that the proposed method is able to achieve a high reduction factor of 3.76 in 2D imaging without significant SNR loss/artifacts.

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