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Abstract #3625

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

Wei Yu1,2, Lixin Wang1,2, Xianchang Zhang3, Zhentao Zuo4, Rong Xue4,5,6, and Tianyi Qian1,2
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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