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Our research is focused on developing and applying magnetic resonance imaging (MRI) methods to assess tissue structure and function. We take an integrated approach to improving the information that can be extracted from imaging data. This includes development of MRI hardware, pulse sequence design, modeling and data analysis, validation in animal models, and applications in clinical and systems neuroscience.

Hardware design

Electromagnetic Simulation

Optimized RF Shimming using Deep Learning

Diffusion MRI