PhD candidate 'Evaluation and Optimization of Photon-Counting CT for Advanced Chest Imaging'

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Jouw functie

Recent developments in photon-counting CT (PCCT) technology offer new opportunities to improve the diagnostic quality of chest imaging. With its ability to provide ultra-high-resolution (UHR) images and spectral information, PCCT has the potential to enhance the assessment of pulmonary and vascular diseases. However, the added clinical value of this technology in routine practice remains to be fully explored.

In this 4-year PhD project, we aim to investigate and establish the clinical potential of PCCT for chest imaging. The project will focus on identifying relevant clinical applications, exploring promising patient populations, and testing initial hypotheses regarding the added value of spectral imaging and super-high-resolution (SHR) imaging. The outcomes of this feasibility phase will guide the development of future large-scale clinical studies.

The project will be conducted as a team effort, in close collaboration with researchers within the department and clinicians involved in chest imaging and clinical research. This multidisciplinary setting ensures strong integration of technical developments with clinically relevant research questions.

Tasks will include:

  • Designing and conducting feasibility studies, including study design and protocol development, for chest imaging using PCCT.
  • Collaborating with clinicians to identify and recruit suitable patient populations.
  • Analyzing and interpreting imaging and clinical data, including quantitative and AI-based approaches.
  • Collecting and integrating non-radiological (clinical) data for comprehensive analysis.
  • Optimizing imaging protocols and scanner workflow.
  • Contributing to ethics applications and study preparation for follow-up research.
  • Presenting findings at scientific meetings and preparing scientific publications.

This project offers a unique opportunity to work at the forefront of advanced CT imaging technology, in close collaboration with clinical and technical experts, and to help shape the future direction of chest imaging research.

Jouw werkplek

The position is based at Radboudumc within the department of Medical Imaging and embedded in the Advanced X-ray Tomographic Imaging (AXTI) laboratory.

AXTI focuses on the development, optimization, and clinical evaluation of new x-ray-based imaging methods. The lab focuses on the use of medical physics approaches to improve image acquisition methods and processing algorithms, and to evaluate the clinical performance of new technology in new clinical applications. The group counts with wide-ranging expertise in image acquisition and processing, reconstruction, and analysis, as well as observer studies, screening, radiation dosimetry, along with the design and performance of patient trials.

You will work in a well-equipped research environment with access to advanced CT technology and close collaboration with a multidisciplinary team of clinicians, including pulmonologists, internists, pathologists, thoracic surgeons, and anatomists.

The project also involves hands-on work at the CT scanner, in collaboration with specialized radiographers and CT technologists involved in photon-counting CT development.

Jouw profiel

We are looking for a motivated and curious researcher who is eager to explore the clinical potential of cutting-edge CT technology. You enjoy working at the interface of technology and clinical practice and are capable of independently driving feasibility studies while collaborating within a multidisciplinary team. You are proactive, communicative, and able to translate technical findings into clinically meaningful insights.

Requirements:

  • MSc degree in biomedical sciences, technical medicine, biomedical engineering, medical physics, physics, or a related field.
  • Affinity with radiology, medical imaging, and clinical research.
  • Interest in CT imaging and emerging technologies such as photon-counting CT.
  • Experience with data analysis and programming (e.g., Python, MATLAB, or similar).
  • Experience with image analysis and/or AI methods is a plus.
  • Strong analytical and problem-solving skills.
  • Ability to work independently as well as in a multidisciplinary team.
  • Excellent communication skills in English, both written and spoken.
  • Communication skills in Dutch, both written and spoken, are required.

Goed om te weten

  • This position requires a Certificate of Conduct (VOG).

We are recruiting for this position ourselves. Unsolicited marketing is not appreciated, but do feel free to share the vacancy in your network!

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We vertellen je graag meer! 

Ioannis Sechopoulos

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