Contrast Enhanced Magnetic Resonance Imaging

Contrast-enhanced magnetic resonance imaging (MRI) uses contrast agents to improve the visibility of tissues and organs, primarily for diagnosing diseases like brain tumors and liver cancer. Current research focuses on developing deep learning methods, including conditional GANs and vision transformers, to synthesize contrast-enhanced images from non-contrast scans, thereby reducing the need for potentially toxic contrast agents and simplifying the imaging process. This work aims to improve image quality, reduce costs, and enhance diagnostic accuracy, ultimately leading to safer and more efficient medical imaging practices.