Water/fat separation algorithm for two-echo spiral acquisition in the liver was developed using the convolutional neural network (CNN). The processing in the CNN was performed in the sinogram domain. A Bloch simulator was used to simulate the phase error in the k-space caused by the off-resonance components of background and fat. A volunteer study showed the successful water/fat separation using the proposed method without additional echoes of reference scans.
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