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Abstract #1881

Incorporating Deep Learning into Multi-shot EPI DWI Reconstruction

Hui Zhang1, ZiYing Feng2, Fei Dai1, WeiBo Chen3, YiShi Wang4, ChengYan Wang2, and He Wang1,2
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Human Phenome Institute, Fudan University, Shanghai, China, 3Philips Healthcare, Shanghai, China, 4Philips Heathcare, Beijing, China

This work tried to optimize MUSE for high resolution multi-shot EPI DWI reconstruction by using Convolutional neural network (CNN). By using multi-scale U-net learning neural network, final reconstructed images showed less artifacts due to the improved phase estimation. Besides, CNN can improve the computational efficiency for the image reconstruction process.

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