Perceptual cGAN for MRI Super-resolution

• DOI: 10.48550/arxiv.2201.09314
• Publication Date: 2022-01-01
• Authors: Sahar Almahfouz N...; Saqib Shamsi; Valay Bundele; Bhavesh Garg; Amit Sethi
• Keywords: Low resolution; Real-time MRI

Capturing high-resolution magnetic resonance (MR) images is a time consuming process, which makes it unsuitable for medical emergencies and pediatric patients. Low-resolution MR imaging, by contrast, faster than its counterpart, but compromises on fine details necessary more precise diagnosis. Super-resolution (SR), when applied to low-resolution images, can help increase their utility synthetically generating with little additional time. In this paper, we present SR technique that based generative adversarial networks (GANs), have proven be quite useful in sharp-looking SR. We introduce conditional GAN perceptual loss, conditioned upon the input image, improves performance isotropic anisotropic MRI super-resolution.