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.

News

  • 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.
  • February 16, 2022: The AXTI group has another interesting Internship/MSc project to offer on 'Optical 3D measurements in breast tomosynthesis'. Find out more and how to apply.
  • February 16, 2022: Olga Sliwicka won the public prize at the Mercator Launch Innovation Competition 2022 for her Skip Beat Innovation. Skip Beat is an improved scanning protocol applied to dynamic myocardial CT perfusion resulting in possible radiation dose reduction by at least 50%. During an online voting, this innovation was rated highest by the public audience.
  • February 14, 2022: We have a new vacant MSc project on 'Radiomics and Machine Learning to predict response to treatment in pancreatic cancer' at the AXTI group. More information and how to apply ...
  • January 1, 2022: Lian Pennings started working at the Medical Imaging department as a research coordinator for the groups BIG and AXTI.
  • December 1, 2021: Thomas van den Heuvel received the NWO Stairway to Impact Award from Dutch Research Council NWO. He receives this prize for the development of the BabyChecker, a smartphone application that allows midwives to make ultrasounds during pregnancies, with the aim of reducing maternal mortality in recourse limited countries.

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