3D MRI super-resolution using convolutional generative adversarial network with gradient guidance
Wei Xu, Jing Cheng, Dong Sheng Liang · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · 2024
The application of MRI has been limited due to the restriction of imaging time and spatial resolution. Super-resolution is an important strategy in clinics to speed up MR imaging. In this work, we propose a novel GAN-based super-resolution method which incorporates gradient features to improve the recovery of local structures of the super-resolution images. Experiments on 3D MR Vessel Wall imaging demonstrate the superior performance of the proposed method.