In this work, we proposed a residual network based reconstruction method for multi-slice partial Fourier acquisition, where adjacent slices are sampled in a complementary way. The anatomical structure and phase similarity of multi-slice MR data can be exploited to provide complementary information from adjacent slices with different sampling patterns. The proposed method enables highly partial Fourier imaging without noise amplification.
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