Welcome!

Welcome to my website. I'm Donghyeon Lee.
- Position
- Postdoctoral Fellow, Dept. of Radiology, University of Pennsylvania
- Ph.D.
- KAIST, 2022 (MIRLAB)
- Previously
- Postdoctoral Fellow, KU Lab, Johns Hopkins University
- Research Focus
- Photon-Counting CT · Dual-Energy CT · Material Decomposition
- leedhyeon91@gmail.com
I received my B.S. degree in 2016 from Hanyang University and my M.S. and Ph.D. degrees in 2018 and 2022, respectively, from MIRLAB at KAIST. I then conducted postdoctoral research at KU Lab at Johns Hopkins University. I am currently working in the Department of Radiology at the University of Pennsylvania.
My research has been guided by a fundamental question: How can we visualize the internal structure of objects more reliably and quantitatively? I believe that imaging systems should do more than produce visually appealing images; they should provide reliable, safe, and quantitatively accurate information that people can trust. From this perspective, I have been particularly interested in computed tomography (CT), whose physical principles and measurement models provide a strong foundation for quantitative imaging.
My research focuses on X-ray imaging and CT technologies. During my Ph.D., I developed a strong interest in spectral CT and proposed several new approaches for dual-energy CT reconstruction and material decomposition. One of these research outcomes was later adopted by a startup company and applied in practice (News Outlet 1, News Outlet 2). Currently, my research centers on photon-counting CT, a next-generation CT technology with energy-resolving capabilities, with particular interests in detector modeling, spectral imaging, and quantitative imaging.
My research philosophy is:
- Imagine beyond the horizon
- Enjoy every moment of the journey toward my goals
- Be sincere, truthful, and respectful
Looking ahead, I aim to develop next-generation imaging systems and technologies by integrating imaging physics, computational methods, and advanced detector technologies, ultimately making CT more accurate, quantitative, and informative.