Development of functional breast tomosynthesis: Optimization and validation of functional imaging for personalized treatment of breast cancer

PhDcandidate Development of functional breast tomosynthesis Optimization and validation of.jpg

Terms of employment

  • 36 hours a week
  • Temporary
  • 4 years
  • Salary scale 10A
  • Fulltime: min € 2570 - max € 3271 gross per month
  • Apply before 1 June 2022
  • Date of first interview: 7 and 8 June 2022
  • Vacancy published on May 06 2022

Job Description

In the project Development of functional breast tomosynthesis: Optimization and validation of functional imaging for personalized treatment of breast cancer you will develop and validate novel tomosynthesis image acquisition methods. Furthermore you will develop digital and physical functional phantoms to test these methods, and participate in the development and optimization of novel 3D and 4D image processing algorithms, based on traditional and AI algorithms. Will you join our team?

Recent advances in acquisition hardware and computer power have made the acquisition and reconstruction of functional images with x rays possible. Functional tomosynthesis imaging for acquisition of dynamic perfusion information will provide information on how a breast tumor functions and is reacting to therapy, in addition to their anatomical shape. This new, additional, realm of information obtained about tumor status will aid in personalization of treatment plans and monitoring of the response to treatment. However, the implementation of functional tomosynthesis requires development and optimization of image acquisition and processing methods to allow and optimize acquisitions at lower radiation doses, while maintaining high image quality characteristics.

The AXTI lab is engaged in the development of cutting-edge digital breast tomosynthesis systems for functional imaging of the breast. This project involves the development, optimization, characterization, and patient testing of the first such system in the world. Tasks will also include presenting at international scientific conferences and writing papers on newly developed methods and the study results.

There will be close collaboration with other team members focusing on reconstruction and radiomics aspect of the project, and industry partners to facilitate the translation of these methods into clinical evaluation and use.


You are a creative and enthusiastic researcher with a MSc degree in medical physics, biomedical engineering, computer science, physics, or similar.

Furthermore, you recognize yourself in the profile below:

  • Experience or interest in radiology and/or image processing and affinity with biomedical research.
  • Experience in programming in python, C/C++, Matlab, or similar.
  • Experience in artificial intelligence is a plus.
  • Excellent communication skills in English, both written and spoken.


Please apply here


All additional information about the vacancy can be obtained from Dr. Ioannis Sechopoulos, Associate Professor.

Radboud University Medical Center

Nijmegen is the oldest Dutch city with a rich history and one of the liveliest city centers in the Netherlands. Radboud University has over 17,000 students. Radboud University Medical Centre (Radboudumc) is a leading academic center for medical science, education and health care with over 8,500 staff and 3,000 students. Radboudumc strives to be a leading developer of sustainable, innovative and affordable healthcare to improve the health and wellbeing of people and society in the Netherlands and beyond. This is the core of our mission: To have a significant impact on healthcare. The Department of Radiology and Nuclear Medicine is one of the most active research departments of the Radboudumc, where more than 100 researchers are continuously striving to optimize healthcare.