Přehled

Title: Advanced methods of medical image analysis in modern CT scanners
Study program: Biomedical Technology and Bioinformatics
Supervisor: Ing. Jiří Chmelík, PhD

Topic description:

Computed tomography (CT) scanners are among the most widely used modalities for diagnosing various diseases and pathologies. The development and clinical implementation of modern CT scanners now enable multi-energy X-ray imaging using multilayer detectors or even single-photon level imaging. Additionally, these advanced devices provide a range of parametric images, such as monoenergetic images and material decomposition images. This expanded imaging capability enhances the diagnostic yield of CT while significantly reducing radiation dose, a benefit of great interest to the broader medical community.

This research will focus on developing advanced image processing and analysis methods utilizing machine learning and deep learning approaches for multiparametric images acquired through multilayer CT detectors. The student will be responsible for developing, implementing, and validating preprocessing, segmentation, detection, classification, and prediction tasks, considering the unique characteristics of multiparametric images. The proposed comprehensive computer-aided diagnostic tool aims to improve diagnostic accuracy, reproducibility, and examination speed while reducing interand intra-expert variability and routine workload.

The research will be conducted at the Department of Biomedical Engineering, with expected collaboration from external partners, including national clinical institutions (FN Brno, VFN Prague, FNUSA/ICRC Brno) and international organizations (Philips Healthcare, DKFZ Heidelberg). These partnerships will facilitate the clinical evaluation of results and discussions with medical experts.

Your task:

  • Get familiar with modern imaging techniques in medicine.
  • In cooperation with clinicians acquire the data and propose possible improvements in medical image processing.
  • Propose, implement and test novel image processing method to improve clinical outcomes.

Requirements:

  • Deep interest in scientific activities in the field of medical imaging, image processing, and machine learning.
  • Sound knowledge of programming languages (e.g., Python, MATLAB).
  • A relevant degree with appropriate engineering and/or IT knowledge, transferable to the scientific environment.
  • English communication skills.

We offer:

  • Our core objective is to provide doctoral students with a supportive and highly scientific work environment that fosters collaboration.
  • The doctoral students complete 3-6 months of internships at partner universities abroad.
  • The Department provides doctoral students with a scholarship beyond the state scholarship in the form of a supplementary stipend or salary when participating in a grant project.

For more information about this topic please contact Jiří Chmelík – chmelikj@vut.cz

Relevant publications:
Greffier, J., Viry, A., Robert, A., Khorsi, M., & Si-Mohamed, S. (2024). Photon-counting CT systems: A technical review of current clinical possibilities. Diagnostic and Interventional Imaging. https://doi.org/10.1016/j.diii.2024.09.002

How to apply:

Please apply and submit your motivation letter and CV via university website from April 1 to April 30, https://www.vut.cz/eprihlaska/cs/zadani/vybrat-obor/fakulta/5

Funding:
Funding is provided as a combination of part-time or full-time research projects and/or regular scholarships.

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