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Abstract #4612

Water-fat separation in spiral readout acquisition for the liver using the convolutional neural network: an approach to reduce blurring artifacts

Daiki Tamada1, Ryoichi Kose2, Katsumi Kose2, Hiroshi Onishi1, and Utaroh Motosugi1

1Department of Radiology, University of Yamanashi, Chuo, Japan, 2MRIsimulations Inc., Tokyo, Japan

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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