PhD student on Image Quality Improvement and Performance Assessment of Dedicated Breast CT

Job description

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. To advance the introduction of breast CT into the clinic, it is important to maximize its image quality and to characterize its clinical performance potential. Several aspects of image acquisition and reconstruction that have an impact on the final image quality remain to be investigated and developed. In addition, the performance of breast CT for different clinical applications is still unclear.

The AXTI (Advanced X-ray Tomographic Imaging) laboratory of the Department of Radiology and Nuclear Medicine at Radboudumc has one of the few breast CT systems in the world that can perform patient imaging. In this project you will develop and evaluate novel methods of breast CT image processing and image reconstruction optimize the image quality obtained with this system. In addition, together with a research coordinator you will perform a patient trial to determine the clinical performance of breast CT for diagnostic work-up of breast cancer screening findings. This project also involves collaborating with overseas experts in performance and analysis of observer studies and in mathematical optimization algorithms for image reconstruction.

Tasks consist of development, implementation and testing of image processing and image reconstruction algorithms, computer simulations, 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, physics, computer science, or similar.
  • Experience or interest in radiology and/or image processing and affinity with biomedical research.
  • Experience in programming in C++, and preferably with CUDA libraries, 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.

Organization

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.

Information

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

Application

Please apply by following this link. Only if this does not work, you can send applications as a single pdf file to ioannis.sechopoulos@radboudumc.nl. 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 June 3rd.