People

Research Summary
Dr. Sun is an MRI researcher focused on developing novel strategies for rapid MRI acquisition, accurate reconstruction, and quantitative analysis. His current research emphasizes novel physics‑ and data‑driven methods using deep learning, parallel imaging, non‑Cartesian sampling, and compressed sensing for cardiopulmonary applications. The ultimate goal is to enable fast, accurate, and automated MRI workflows for diagnosing and treating cardiopulmonary diseases.

Research Interests
Data‑driven and physics‑driven MRI methods; MRI methods development for cardiopulmonary disease research

Areas of Expertise
Magnetic Resonance Imaging (MRI); Artificial Intelligence in medical imaging; Image reconstruction and analysis; Rapid MRI; Cardiac MRI

Education & Training
PhD, INSA de Lyon (2015) · Research Scientist, University of Virginia (2021) · Visiting faculty, King’s College London (2024)

Current Teaching
Medical Image Processing — Biomedical Engineering Department, University of Missouri

Hong Chen is a PhD student in Biomedical Engineering with research interests in cardiac MRI and quantitative imaging analysis.

Education
BS, Information Systems and Management — Heilongjiang University
MS, Information Systems Management — Washington University in St. Louis

Nathan Bresette completed a research rotation in the lab, focusing on quantitative MRI analysis.