Radboud Imaging Research

Welcome to the research website of the Department of Radiology and Nuclear Medicine at Radboud university medical center, Nijmegen.

Our research has a strong focus on early detection and early treatment of common diseases. It covers fundamental research on a molecular level, development of new medical devices and software tools, and translates these results to clinical applications that can be used in daily routine. Our mission is to bridge the gap between research and practice and to help shape the future of healthcare. We use technology to make healthcare more affordable by increasing automation of diagnostic and therapeutic procedures, thus freeing manpower for those areas in patient care in which the "human touch" is most needed.

The six fundamental science groups cover ultrasound (MUSIC), biomedical MR (BioMR), diagnostic image analysis (DIAG), nuclear medicine (NucMed), advanced x-ray tomographic imaging (AXTI), and Image-guided Interventions (MAGIC). Clinical research is mainly focused on prostate, breast, chest and vascular disease.

Publications can be found on each of the research group pages in the menu on the right.


  • June 27, 2022: Last week during the ESTI congress in Oxford, Mathias Prokop received his honorary membership from the European Society of Thoracic Imaging.
  • April 7, 2022: We are excited to share that the Radboudumc hospital has now installed the first dedicated breast CT system optimized for 4-dimensional breast imaging in the world! With this system, our AXTI group will develop dedicated breast dynamic CT perfusion imaging with very high temporal and spatial resolutions. This imaging method will allow us to make major breakthroughs in breast cancer care, especially for personalized treatment. The installation of this hardware is a big step forward in our European Research Council (ERC) Consolidator grant BREAST4D. In this project, we will combine this hardware with our newly-developed image reconstruction, correction, processing, and analysis algorithms, resulting in 4D movies of the tumor perfusion process. We would like to thank the Koning Corporation engineering team for their hard work, working with us in developing this new system to our requirements and dismantling the old breast CT and assembling the new one in only 3 days!
  • March 10, 2022: The NVIDIA Academic Hardware Grant program has awarded our PhD student Marta Pinto with a NVIDIA RTX A6000 48GB GPU for her project "Deep Learning scatter correction approach for Contrast Enhanced Mammography". This NVIDIA Hardware will support the AXTI project in conducting experiments faster and thus help to significantly accelerate our research.
  • March 1, 2022: Andrea Motta joined the AXTI group for his MSc thesis about Deep Learning algorithms for breast density quantification from digital mammography, working with Marco Caballo and Sjoerd Tunissen.
  • March 1, 2022: Francesco Di Salvo joined the AXTI group for his MSc thesis about Deep Learning algorithms for breast cancer diagnosis in contrast-enhanced breast CT, working with Marco Caballo and Sarah Verboom.
  • March 1, 2022: Ioannis Sechopoulos receives a Vici grant for research on improving breast cancer diagnostics using tomosynthesis. Improvement of the technique should lead to less unnecessary follow-up examinations during population screening, and clearer analysis of tumours before and after treatment.

For older news, see the News Archive and Highlight Archive.