The Diagnostic Utility of Ultra-Low Field MRI Enhanced with Advanced Generative AI

The significant potential of ultra-low field (64mT) MRI for point-of-care imaging, particularly in resource-limited settings, is highlighted. However, its adoption has been limited by lower image quality compared to high-field MRI. In this presentation, cutting-edge generative AI techniques are explored to enhance image quality, thereby bridging the gap between ultra-low and high-field MRI for improved diagnostic accuracy. Challenges, methodologies, and outcomes of using advanced generative models are discussed, with their implications for clinical workflows and accessibility emphasized. Examples of AI-driven image reconstruction and enhancement are provided, focusing on the translational potential of these advancements in clinical and research applications.