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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