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Original title in Czech: Biomedicínská elektronika a biokybernetikaFEKTAbbreviation: PP-BEBAcad. year: 2010/2011
Programme: Electrical Engineering and Communication
Length of Study: 4 years
Profile
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.
Key learning outcomes
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.
Occupational profiles of graduates with examples
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.
Guarantor
prof. Ing. Jiří Jan, CSc.
Issued topics of Doctoral Study Program
The dissertation project is oriented towards a novel medical imaging modality - the transmissive ultrasonic computed tomography (USCT), in which the investigated object is gradually irradiated by ultrasonic pulses always from one of several hundreds of transducers surrounding the object, while the other transducers are receiving the signals transmitted through the object. This way obtained huge amount of data is then analysed either to calibrate the system or - routinely - to reconstruct the 3D inner structure of the imaged object. The aim of the dissertation project is to further develop the calibration methodology up to the application stage, and to contribute to development of advanced methods of image reconstruction from the measured signals. The project runs in cooperation with Forschunszentrum Karlsruhe - a part of KIT (Germany).
Tutor: Jan Jiří, prof. Ing., CSc.
The dissertation project deals with advanced multimodal 3D fusion of spatial data from MRI, CT and possibly other imaging modalities, oriented towards medical problems appearing in paediatric diagnostics. The aims of the dissertation include, besides the design and implementation of the respective algorithms, also verification of relevant interpretation and medical application of the obtained fused data in close cooperation with the clinic. The project runs in cooperation with the firm Philips Nederland.
The dissertation project deals with analysis of relations between experimental time-variable spatial fMRI data and EEG signal. It is expected that fusion of these two data sets, the information contents of which are in a sense complementary (detailed spatial resolution of fMRI and high temporal resolution of EEG) might bring important information on intrinsic relations of brain activities. The aim of the dissertation is to design, implement and verify suitable methods for analysis and interpretation of these relations.
The dissertation project deals with analysis of independent components of experimental time-variable spatial (4D) fMRI data in neuroscience. The aim of the dissertation is to design, implement and verify suitable classification methods for the 4D fMRI data obtained during experiments via sensory stimulation of examined persons. The designed methods should enable improved interpretation of the measured brain responses.
The project is aimed to development of methods and algorithms for intelligent processing and visualization of large volume data in bioinformatics. Data will be acquired from modern analytical devices (sequenators and mass spectrometers). The methods will be based on modern tools for sequence alignment, clustering, and making phylogenetic trees. The methods will be used in application for comparison of genes and proteins of various animal and plant species and visualization of secondary and tertiary protein structures. The methods will be evaluated on data acquired in collaborative interdisciplinary projects with MU and MENDELU and also on data from public genomic and proteomic databases of sequences.
Tutor: Provazník Valentine, prof. Ing., Ph.D.
The project is aimed to development of methods and algorithms for analysis of genomic and proteomic data using digital signal and image processing. Data will be acquired from modern and traditional analytical devices (electrochemistry, sequencing, PCR and electrophoresis). The methods will be based on modern tools for filtering, detection, decision making, pattern recognition, clustering, and others. The methods will be used in application for comparison of genes and proteins of various animal and plant species, searching for subsequences including mutations in extremely long sequences and identification of species. The methods will be evaluated on data acquired in collaborative interdisciplinary projects with MU and MENDELU and also on data from public genomic and proteomic databases of sequences.
The theoretical analysis and the model study of microwave hyperthermia in treatment of carcinoma will be the aim of the thesis. Developed numerical models will evaluate the effects of powerful high frequency electromagnetic fields on biological tissues. For the experimental verification of achieved results, instruments in a specialized laboratory and appropriate clinical workplaces will be used. Obtained results will contribute to optimization of hyperthermia heating in clinical elimination of tumors.
Tutor: Rozman Jiří, doc. Ing., CSc.
This project is aimed to study data aquisition in optical coherent tomography with the focus on retinal diagnosis. The practical part will include design of methods for noise suppression and retinal structures segmentation - retinal layers, optical disc, blood-vessels and different pathologies using advanced image processing methods and methods for the texture analysis.
Tutor: Kolář Radim, doc. Ing., Ph.D.
The project is focused on increased potential of dynamic contrast-enhanced magnetic resonance imaging. It covers development of new processing methods applied to dynamic contrast-enhanced MRI sequences with application in oncology. The goal is to develop new methods for estimation of the arterial input function, introduction of new models describing the kinetics of the contrast agent, improved reproducibility and thorough validation with respect to the potencial use in clinical practice. Processing will be done on clinical and preclinical data, as well as on phantom and simulated data. The project is in frame of a running GAČR grant.
Tutor: Jiřík Radovan, doc. Ing., Ph.D.
The project will be focused to preprocessing, automated analysis and segmentation of human electrocardiograms and electrograms recorded from hearts of experimental animals using optical system at Medical Faculty of Masaryk University. Analytical part of the project will be focused to development of methods for automated cluster analysis, selection of representative heart cycles and their classification in long-term recordings.
Tutor: Kozumplík Jiří, doc. Ing., CSc.
This project is aimed to analysis of the ultrasound image time sequences after application of ultrasound contrast agents bolus with focus on tissue perfusion. The main goal is to study nonlinear effects emerging during acquisition and to find methodology for the image pre-processing, attenuation compensation with the aim of robust estimation of the dilution curve. These dilution curves will be processed by deconvolution and used for quantitative and qualitative tissue perfusion.
The aim of the project is to study the electrical activity of the brain and muscles during complex movement therapy. Acquired knowledge of the functional relationship of the nervous system and extremities will be used for the design of therapeutic approaches using bio-feedback link. Recording of EEG and EMG with th euse of clinical devices will be performed in the project during movement therapy on rehabilitation equipment. The study will be undertaken in collaboration with the medical faculty. The project also contains evaluation of therapy efficiency.
Tutor: Kolářová Jana, doc. Ing., Ph.D.