Overview

Title: Methods for analysis of low-dose CT images
Study program: Biomedical Technology and Bioinformatics
Supervisor: Martin Mézl, PhD

Topic description:

The topic focuses on the processing of imaging data from low-dose CT scans, which are used in screening programs, for example, for the early detection of lung cancer. During the course of this project, methods will be designed and implemented to enhance the utility of data obtained from these examinations. The primary aim is the detection of lung nodules and their subsequent classification based on size, shape, and other characteristics. The topic will be addressed using available datasets from international institutions, and also implementation for data from the Masaryk Memorial Cancer Institute in Brno and the General University Hospital (VFN) in Prague — where screening studies have been conducted for several years — will also be processed. The project will further expand to include clinical data from other areas, as the number of low-dose CT scans is expected to rise not only in screening but also in other medical fields.

Your task:

  • Conduct comprehensive review of existing methods for automated analysis of low-dose CT scans (specifically in lung cancer screening)
  • Design and implement of proper methods for data processing
  • Validate and optimize model performance
  • Work with medical professionals to validate your methods and results

Requirements:

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

We offer:

  • Our primary goal is to offer doctoral students a conducive and research-driven environment that encourages collaboration and intellectual growth
  • The doctoral students complete 3-6 months of internships at partner universities abroad
  • In addition to the state scholarship, the department offers doctoral students extra financial support through a supplementary stipend or salary when they participate in grant-funded projects.

For more information about this topic please contact Martin Mézl – mezl@vut.cz.

Relevant publications:

  • Schreuder, et al. Translational Lung Cancer Research, 2021. doi: 10.21037/tlcr-2020-lcs-06
  • Jacobs, et al. Radiology: Artificial Intelligence, 2021. doi: 10.1148/ryai.2021210027
  • Cellina, et al. Diagnostics, 2022. doi: 10.3390/diagnostics12112644
  • Lin, et al. Radiologica Medica, 2024. doi: 10.1007/s11547-023-01730-6

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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