معرفی
Erik Fredenberg is an Adjunct Professor in the Medical Imaging group at the Department of Physics, KTH Royal Institute of Technology, where he contributes to cutting-edge research in medical imaging. He is also a Principal Scientist at GE Healthcare, working on next-generation photon-counting computed tomography (CT) technologies.
His research focuses on developing advanced performance evaluation tools for photon-counting CT, particularly through virtual clinical trials—computer simulations that mimic real patient studies to assess clinical effectiveness while minimizing radiation exposure. This work is funded by the Swedish Foundation for Strategic Research (SSF) and GE Healthcare.
His research integrates medical physics, imaging technology, and computational modeling to advance diagnostic radiology with higher spatial resolution and spectral imaging capabilities. The development of virtual clinical trials enables early-stage technology validation without the need for extensive patient trials.
Erik Fredenberg received his PhD in Medical Physics from KTH in 2009, with a thesis on x-ray optics and photon-counting mammography. Since then, he has held research positions in both multinational corporations and startups, combining industrial innovation with academic inquiry.
Scientific Affiliations and Funding:
- KTH Royal Institute of Technology – Adjunct Professor, Medical Imaging Group, Department of Physics
- GE Healthcare – Principal Scientist, Photon-Counting CT Development
- Funding: Swedish Foundation for Strategic Research (SSF), GE Healthcare
Research Leadership and Advising:
Erik leads a research initiative focused on virtual clinical trials for photon-counting CT, collaborating between KTH and GE Healthcare. While no formal students are listed, his role involves mentoring and guiding research within interdisciplinary teams of scientists, algorithm developers, and physicists.
Laboratories and Research Teams:
He is affiliated with the Medical Imaging group at KTH’s Department of Physics and works within a corporate R&D team at GE Healthcare dedicated to next-generation X-ray imaging systems. His work bridges academic simulation development and industrial implementation.
