Deep learning based high resolution IVIM parameter mapping in lacunar infarction patients
Hui Zhang1, Junqi Xu1, Xutong Kuang2, Shuai Xu2, Xuchen Yu1, Weibo Chen3, Chengyan Wang2, and He Wang1
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Human Phenome Institute, Fudan University, Shanghai, China, 3Philips Healthcare, Shanghai, China
This study aimed to propose a reliable deep learning based high resolution intravoxel incoherent motion (IVIM) parameter mapping for the assessment of lacunar infarction patients.
This abstract and the presentation materials are available to members only;
a login is required.