Multi-contrast high-field quality image synthesis for portable low-field MRI using generative adversarial networks and paired data.
Alfredo LucasT Campbell ArnoldSerhat V OkarChetan VadaliKaran D KawatraZheng RenQuy CaoRussell Taki ShinoharaMatthew K SchindlerKathryn A DavisBrian LittDaniel S ReichJoel M SteinPublished in: medRxiv : the preprint server for health sciences (2023)
LowGAN generates synthetic high-field images with comparable visual and quantitative quality to actual high-field scans. Enhancing portable MRI image quality could add value and boost clinician confidence, enabling wider adoption of this technology.