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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