Welcome to the Uddin Lab

Our research lies at the dynamic intersection of MRI physics, neuroscience, and artificial intelligence

We aim to transform MRI technology and methodologies to improve the diagnosis, monitoring, and treatment of a wide range of medical conditions. By pushing the boundaries of medical imaging, we seek to provide deeper insights into the anatomy and physiology of the brain.

MRI Methods Development

• Development of advanced pulse sequences and image-processing pipelines for high-precision brain imaging
• Fast CEST MRI using compressed sensing and AI to map metabolic dysfunction and neuroinflammation
• AI-driven tools for automated segmentation, classification, and feature extraction of brain arteries from time-of-flight MR angiography
• Robust estimation of extracellular free water and neurite density from single-shell diffusion MRI

Clinical and Translational MRI Applications

• Probing neuroinflammation and neurodegeneration using diffusion MRI, T2-based myelin water imaging, and other quantitative techniques
• Investigating iron-sensitive biomarkers through quantitative susceptibility mapping and relaxometry in neurodegenerative disorders
• Studying non-alcoholic fatty liver disease (NAFLD) using MR elastography and proton density fat fraction (PDFF), and assessing its influence on brain metabolism
• Integrating multimodal MRI with blood biomarkers and cognitive assessments across healthy aging and neurological conditions

Keywords: MRI, Neuroimaging, Diffusion MRI, CEST, Machine Learning, Deep Learning, Artificial Intelligence, Brain Arteries, Neuroinflammation, Myelin, Iron, Free Water, Multiple Sclerosis, HIV, Cerebral Small Vessel Disease, Stroke, NAFLD, Brain–Liver Axis