Abstract #3625

Simultaneous Brain Anatomical and Arterial Imaging by 3T MRI: Reconstruction Based on a Generative Adversarial Network

Wei Yu^1,2, Lixin Wang^1,2, Xianchang Zhang³, Zhentao Zuo⁴, Rong Xue^4,5,6, and Tianyi Qian^1,2

¹Sinovation Ventures AI Institute, Beijing, China, ²QuantMind, Beijing, China, ³MR Collaboration, Siemens Healthcare, Beijing, China, ⁴State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, ⁵University of Chinese Academy of Sciences, Beijing, China, ⁶Beijing Institute for Brain Disorders, Beijing, China

This study investigates a reconstruction method designed to generate 7T magnetic resonance images (MRI) from 3T MRI based on a generative adversarial network. Compared with current reconstruction methods, this method can simultaneously reconstruct well-defined anatomical details and salient blood vessels. This reconstruction method may be useful for increasing the efficiency of brain MRI examinations.

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