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 Wang^1,2

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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