The Computational and Quantitative MRI Laboratory develops innovative MRI acquisition, reconstruction, and modeling methods to enable accurate, motion-robust, and clinically translatable quantitative imaging. Our research integrates MRI physics, non-Cartesian sequence design, model-based reconstruction, and AI-enhanced algorithms to overcome key technical barriers such as subject motion, field inhomogeneity, and limited acquisition time.
A central focus of the laboratory is quantitative MRI of early brain development, with particular emphasis on fetal, neonatal, and pediatric imaging. By combining physically grounded models with modern computational methods, our goal is to establish reliable quantitative MRI tools that can be deployed in challenging clinical environments and support early detection and longitudinal assessment of neurodevelopmental risk.
We are a team of people with background in MRI physics, non-Cartesian acquisition, image reconstruction, motion correction and deep learning.
We gratefully acknowledge the generous support of National Institute of Biomedical Imaging and Bioengineering (NIBIB) and Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)!