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Abstract #4475

Non-contrast enhanced MR vessel wall image acquisition based on generation adversarial network

Yuzhuo Gu1, Zongyang Li1, Weiqiong Ma2,3, Guanxun Cheng4, Liwen Wan1, Lei Zhang1, Yongming Dai5, Ye Li1, Dong Liang1, Xin Liu1, Hairong Zheng1, and Na Zhang1
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Department of Radiology, Huizhou Central People's Hospital, Huizhou, China, 3Department of Radiology, Guangdong Second Provincial General Hospital, Guangzhou, China, 4Department of Radiology, Peking University Shenzhen Hospital, Shenzhen, China, 5United Imaging Healthcare, Shanghai, China


High resolution magnetic resonance vessel wall imaging (MRVWI) is now widely used for the risk evaluation of patients with ischemic stroke. The use of MRVWI with and without contrast agent is a diagnostic criterion from expert consensus recommendations. However, patients with renal insufficiency who receive gadolinium-based contrast agents are at risk for developing a debilitating and potentially fatal disease known as nephrogenic systemic fibrosis. The study proposes a method based on adversarial generation network to obtain enhanced MR vessel wall image without using contrast agent. The results show the enhancement effect is consistent with the contrast-enhanced MRVWI images.

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