The doctoral study provides the graduates of MSc study in the area of biomedical electronics and biocybernetics with a higher degree of education, deepening their theoretical background.
The study is aimed at deepening of theoretical knowledge of students in advanced mathematics, physics and in disciplins forming the theoretical basis of the chosen field. Also, necessary experience in experimental work and in processing of the obtained results should be provided, including exploitation of advanced methods of applied informatics.
The final goal is that the students will master methods of scientific research.

A graduate of the doctoral study is expected to be a distinct personality with a recognised research result, wide horizon of knowledge and ability to solve complex scientific and technical-research tasks in the field of biomedical electronics and biocybernetics and in neighbouring fields.
Maximum flexibility and professional adaptivity is the undisputed property of a graduate of doctoral study.
The graduates of the doctoral study in biomedical electronics and biocybernetics will be capable of working as scientists and researchers involved in basic or applied research namely in medical or biological area, as leading specialists in development and construction departments of research and development institutions, and in manufacturing enterprises or institutions exploiting advanced technology, namely in biomedical field.

Graduate of doctoral programme should be a strong personality with substantial scientific results, large horizon and ability to solve complex scientific and research technical tasks in area of biomedical electronics and biocybernetics. He/she will have maximum flexibility and professional adaptability in wide area of biomedical engineering. Graduates will be able to work as scientific and research staff in basic and applied research, as specialists in development, construction and production, in research institutes and at industrial companies and users of medical devices and applied information technologies in medicine and biology.

prof. Ing. Jiří Jan, CSc.

1. Advanced Algorithms and Instrumentation for Visual Telepresence and Enhanced Reality

   The aim of the project is to find necessary parameters of a device for visual telepresence and enhanced reality, and to propose and test such a device. The main emphasis is on human’s head movements – acceleration, speed, range and accuracy, and visual perception – stereo camera baseline, field of view, resolution, frequency, color gamut, etc. Many of these parameters are practically unattainable, so it is crucial to find the human’s sensitivity to these parameters. Visual telepresence is a technique, where image is transmitted to the operator so he/she should feel to be in the place where the camera system is. Enhanced reality adds other “artificial” data. e.g. thermal data, artificial objects, other measured data, to this image. The research will be utilised in medical rehabilitation or mobile robotics.

   Supervisor: Žalud Luděk, prof. Ing., Ph.D.

2. Advanced algorithms for compression of ECG signals in telemedicine

   The theme of this dissertation is aimed on lossy compression of ECG signal with respect to its specifics in telemedicine and it can be divided into two parts. The goal of the first part is to design a new system for assessing the quality of the reconstructed signal with respect to the type of distortion, its degree and its influence on a subsequent diagnosis. This rating system should lead to the determination of an acceptable level of distortion of the ECG signal, which does not affect the diagnosis. The goal of the second part is to design an advanced high-compression algorithm for lossy compression, which will respect the limits set in the first part.

   Supervisor: Vítek Martin, Ing., Ph.D.

3. Advanced processing and analysis of retinal images

   Project is focused on processing of images acquired by digital fundus camera, laser scanning ophthalmoscope and optical coherence tomography (OCT). The main aims are to design methods for registration of long-term autofluorescence images, and for registration of 3D OCT data to 2D retinal images. These approaches will need to develop advanced segmentation method and visualization approaches of specific objects and pathologies. These methods should increase the diagnosis potential of used images/modalities. This project is solved in cooperation with Erlangen University, Germany.

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

4. Automatic bone segmentation in CT scans using model based algorithms

   Design and development of methods for reliable segmentation of different types of skeletal elements based on deformable models, aimed at different clinical applications, possibly utilising results of previous research of the research group in spine segmenttion. The project is supported by Philips Nederland, and medically cooperates with VFN Prague (Prof. MUDr. J. Daneš). The applicant is expected to master basic methodology of image processing and analysis, and have a good background in programming numerical methods in MATLAB utilizing also links to different programme libraries.

   Supervisor: Jan Jiří, prof. Ing., CSc.

5. Automatic detection of bone mineral density in CT scans

   Design and development of methods for automatic detection of bone mineral density in CT scans aimed at different clinical applications, using advanced methods of tissue classification and possibly utilising results of previous research of the research group. The project is long-term supported by Philips Nederland, and medically cooperates with AKH Wien (Dr. med. M. Gruber) a Yinchuan Hospital (China). The applicant is expected to master basic methodology of image processing and analysis, and have good background in programming numerical methods in MATLAB utilizing also links to different programme libraries.

   Supervisor: Jan Jiří, prof. Ing., CSc.