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 Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) 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
Md Nasir Uddin, Ph.D.
Principal Investigator
Projects
- Advanced CEST MRI Reconstruction and Quantification for Brain Metabolism and Neuroinflammation
- Automated Brain Artery Segmentation Analysis from Time-of-Flight MRA
- Estimating Free Water and Neurite Density from Single-Shell Diffusion MRI
- Multimodal MRI Integration for Predicting Brain Disease Progression
- Advanced MRI in the Co-occurrence of Liver Disease and HIV Infection
- Digital Twin Brain for Cerebral Small Vessel Disease
Publications
View All Publications- ArteryX: A Reliable End-To-End Toolbox for Standardized Intracranial Artery Feature Extraction From 3D TOF-MRA.; Magnetic resonance in medicine. 2026 Aug 11.
- Brain MR Elastography Metrics Associated with Alterations in Learning and Memory in People with HIV.; Research square. 2026 Jun 15.
- Morphological feature remodeling of intracranial arteries in the context of inflammation and HIV-associated cognitive impairment.; medRxiv : the preprint server for health sciences. 2026 May 27.
- A multimodal imaging-based integrative framework for HIV-associated cognitive impairment and treatment response.; Frontiers in neuroscience; Vol 20, pp. 1775047. 2026 Apr 13.
- White matter damage in multiple sclerosis disproportionately targets default mode, executive control, and salience networks.; The Journal of neuroscience : the official journal of the Society for Neuroscience. 2026 Apr 10.