Deep Learning for Magnetic Resonance Image Reconstruction and Super-resolution

Abstract

This thesis investigates how artificial intelligence (AI) can enhance Magnetic Resonance Imaging (MRI). It addresses the key issue of lengthy MRI scan times, which can cause patient discomfort as well as low image quality. The research proposes AI models that not only reconstruct MRI images from limited data but also improve their resolution. These innovations promise faster, clearer MRI scans, leading to more accurate and efficient medical diagnoses. Ultimately, this work showcases the transformative potential of artificial intelligence in medical imaging, benefiting both patients and healthcare providers.