Overview

Title: Spectral Video-Ophthalmoscopy for Retinal Circulation and Oxygenation Assessment

Study program: Biomedical Technology and Bioinformatics

Supervisor: Doc. Ing. Radim Kolář, Ph.D.

Topic description: 

Over the past decade, retinal imaging has advanced significantly, encompassing both anatomical and functional aspects such as flow, perfusion, blood velocity, and tissue oxygenation. These methods are crucial for diagnosing retinal and systemic diseases. This project focuses on developing an ophthalmic device and image processing techniques to evaluate retinal oxygenation and blood circulation. A basic setup of video-ophthalmoscope was designed and validated over three years. It can capture retinal video sequences at specific wavelengths and acquire various biosignals like electrocardiogram, photoplethysmographic, and respiratory signals. This project will contribute to interdisciplinary research covering retinal imaging, functional assessment, advanced image processing, and machine learning. The goal is to establish a methodology for evaluating retinal oxygenation and identifying potential biomarkers for disease diagnosis.

Project will be solved mainly at the Department of Biomedical Engineering. However, cooperation with our foreign partners is expected – Leipzig University in Germany and University of Minnesota, USA.

Your task:

  • Analysis of retinal video-sequences with the aim to extract specific parametric feature maps related to blood vessel pulsation, photoplethysmographic blood volume assessment and oxygen saturation estimation.

  • Opto-mechanical modification of video-ophthalmoscope for spectral retinal imaging.

  • Development of analysis pipeline for multimodal retinal images processing (image segmentation, classification etc.).

  • Scientific publishing

Background:

  • Master’s degree in a relevant field, e.g. computer science, biomedical engineering.

  • Strong programming skills, preferably Python, MATLAB, or C++.

  • Familiarity with image processing techniques and machine learning algorithms.

  • Interest in developing hands-on experimental skills in optics and electronics area.

  • Good communication skills in English.

  • A keen interest in ophthalmological research.

We offer:

  • Collaboration within an active and interdisciplinary team.

  • Friendly and supportive research environment.

  • Professional development through participation in international conferences, workshops as well as student’s mentorship and teaching.

Relevant publications

https://doi.org/10.1364/BOE.486052

https://doi.org/10.1364/BOE.441451

https://doi.org/10.1002/jbio.202400494

For more information about this topic please contact Radim Kolář – kolarr@vut.cz.

Application portal: https://www.vut.cz/eprihlaska/

Application deadline: April 30, 2026

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