Sparse Radial k-t SPIRiT for Dynamic Liver Imaging
Dan Zhu 1 , Feng Huang 2 , Jia Ning 1 , Feiyu Chen 1 , and Huijun Chen 1
Tsinghua University, Beijing, Beijing,
Healthcare, Suzhou, Jiangsu, China
We proposed the reconstruction method of sparse radial
which combines sparsity constraint into radial
for highly accelerated dynamic imaging with high
spatiotemporal resolution. The efficiency of the
proposed method was demonstrated by phantom and
data acquired with golden angle radial trajectory. The
proposed method has higher SNR and less striking
artifacts compared to SPIRiT and radial
reconstruction without sparsity constraint.
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