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Abstract #2177

Accelerating 3D MULTIPLEX MRI Reconstruction with Deep Learning

Eric Z. Chen1, Yongquan Ye2, Xiao Chen1, Jingyuan Lyu2, Zhongqi Zhang3, Yichen Hu2, Terrence Chen1, Jian Xu2, and Shanhui Sun1
1United Imaging Intelligence, Cambridge, MA, United States, 2UIH America, Inc., Houston, TX, United States, 3United Imaging Healthcare, Shanghai, China

We propose a deep learning framework for undersampled 3D MRI data reconstruction and apply it to a recently developed multi-flip-angle (FA) and multi-echo GRE method (named MULTIPLEX) that can simultaneously acquire multiple parametric images with just one single MRI scan. The proposed deep learning method shows good performance in image quality and reconstruction time.

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