PhD student on Analysis and new applications of 3D surface and dedicated CT images of the breast

Job description

Expanding the impact of tomographic imaging in breast cancer: Analysis and new applications of 3D surface and dedicated CT images of the breast

Dedicated breast computed tomography (breast CT) is a cutting-edge imaging technology being developed for breast cancer imaging. Breast CT is based on the same physical and technological basis as conventional CT for body imaging, but optimized for breast imaging, resulting in high spatial and contrast resolution fully tomographic images of the breast. Breast CT has the potential for multiple applications in breast imaging, such as diagnosis, staging, therapy response monitoring, and potentially screening. Beyond the direct impact due to its introduction in the clinical realm, we believe breast CT can have a substantial impact indirectly in breast cancer diagnosis and treatment when combined with 3D surface imaging. The combination of these technologies can help improve various aspects of the diagnosis and treatment of breast cancer, including imaging with spectral mammography and tomosynthesis and planning of breast surgery.

The AXTI (Advanced X-ray Tomographic Imaging) laboratory of the Department of Radiology and Nuclear Medicine at Radboudumc has one of the few dedicated breast CT systems in the world that can perform patient imaging. In this project you will develop and evaluate novel methods of breast CT and 3D surface image processing and analysis for mechanical tissue modeling, surgery planning, and optimization and validation of other advanced breast imaging methods. In addition, together with a research coordinator you will participate in the performance of breast CT patient trials. Finally, this project also involves collaborating with overseas experts in performance and analysis of observer studies and in tomographic image analysis.

Tasks consist of development, implementation and testing of 3D CT and surface image processing and image analysis algorithms, computer simulations of tissue deformation, data collection and annotation, design and performance of clinical reader studies with patient images, and writing papers on the study results.

Your profile

  • You should be a creative and enthusiastic researcher with a MSc degree in medical physics, biomedical engineering, computer science, physics, or similar
  • Experience or interest in radiology and/or image processing and affinity with biomedical research
  • Experience in programming in C++, Matlab, and/or IDL or similar
  • Experience in biomechanical models is a plus
  • Excellent communication skills in English, both written and spoken

Terms of employment

You will be appointed as a PhD student with the standard salary and secondary conditions for PhD students in the Netherlands:

  • Employment will initially be for one year and can be extended with an additional 3 years after a positive evaluation
  • Salary is € 2222 gross per month in the first year up to a maximum of € 2846 gross per month in the last fourth year, plus additional vacation bonus (8% per year) and end of year payments (8.3% per year)
  • 36 hours per week.

The research should result in a PhD thesis.


The Department of Radiology and Nuclear Medicine is one of the most active research departments of Radboudumc. More than 100 researchers are continuously striving to optimize health care. The main research areas are prostate, breast and lung.

This project will be carried out in the AXTI lab, a new research group in the department led by Dr. Ioannis Sechopoulos focused on the development of x-ray based tomographic imaging, especially for breast cancer imaging. Research performed in the AXTI lab includes development of breast CT, breast tomosynthesis, mammography dosimetry, as well as advanced aspects of body CT imaging. Yearly about 200 breast cancer patients are treated at Radboudumc, and several thousand women undergo a diagnostic work-up. Close cooperation between clinicians and scientists is key to the success of breast research, and you will be working directly with the clinicians and other researchers involved in this field.


For more information please contact Dr. Ioannis Sechopoulos by email.


Please apply by following this link. Only if this does not work, you can send applications as a single pdf file to In this pdf file the following should be included: CV, list of followed courses and grades, letter of motivation, and preferably a reprint of your Master thesis or any publications in English you have written.

Please apply before December 12th.