Diffusion MRI

Diffusion MRI (dMRI) is a neuroimaging technique used to map the brain's microstructure and connectivity by measuring the diffusion of water molecules. Current research focuses on improving dMRI data quality through techniques like deep generative models (e.g., diffusion models, U-Nets) for tasks such as field-of-view extension, denoising, and super-resolution, often incorporating multi-modal data and physics-informed approaches. These advancements aim to enhance the accuracy and efficiency of dMRI-based analyses, including tractography, brain parcellation, and microstructure estimation, ultimately improving the diagnosis and treatment of neurological disorders and advancing our understanding of brain structure and function. The development of open-source datasets and standardized evaluation metrics is also a significant area of focus.