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Detection of ventricular extrasystoles
Svánovská, Zuzana ; Mézl, Martin (referee) ; Sekora, Jiří (advisor)
Ventricular extrasystoles are pathological changes in the ECG signal. Detection of ventricular extrasystoles on 12leads ECG was created in MATLAB. My work contains two algorithms. The first of these algorithms is based on comparision wides of QRS komplexes. The second algorithm matchs maximum and minimum evaluations of QRS komplexes. We look for agreements beetween these two algorithms and finally if we find these agreenments in seven leads at least we will suppose presence of ventricular extrasystoles.
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Sudoku - algorithmization of solution
Buchta, Martin ; Sekora, Jiří (referee) ; Mézl, Martin (advisor)
In this paper, we present an overview of techniques that can be used by people to solve a Sudoku Puzzle. The individual algorithms were theoretically described using real tasks and were implemented on this basis to appropriate graphical user interface in Matlab with the possibility of webcam task loading.
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Methods for respiration estimates from ECG signal
Mitrengová, Jana ; Mézl, Martin (referee) ; Králík, Martin (advisor)
The thesis deals with the realization of methods for estimation of the respiratory curve from the ECG signal. The first part of the thesis deals with the anatomy and physiology of the respiratory and cardiovascular system. In this part of the thesis are also described ways of the breathing monitoring. The second part of the thesis is dedicated to the description of individual methods for the ECG derived respiration. The third part deals with the realization of selected methods, application of method algorithms on real data and comparison of resulting respiratory curves with the respiratory signals available from the PhysioNet database. In conclusion, the individual methods are compared with each other.
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Image registration of ultrasound sequences using evolutionary algorithms
Hnízdilová, Bohdana ; Odstrčilík, Jan (referee) ; Mézl, Martin (advisor)
This master´s thesis deals with the registration of ultrasound sequences using evolutionary algorithms. The theoretical part of the thesis describes the process of image registration and its optimalization using genetic and metaheuristic algorithms. The thesis also presents problems that may occur during the registration of ultrasonographic images and various approaches to their registration. In the practical part of the work, several optimization methods for the registration of a number of sequences were implemented and compared.
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Face detection in image
Koudela, Ondřej ; Harabiš, Vratislav (referee) ; Mézl, Martin (advisor)
This work is basic overview over methods of face detection in picture and it's components. The main part of the work is an example of algorithm developed in MATLAB programming language for face detection based on skin color segmentation in different color spaces and their implementation in real time. The basic algorithm is discussed in several steps with shown results for each of color spaces and in the end of the work is evaluation of used methods. This work also includes a simulation of processing real-time detection in MATLAB Simulink.
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Epidemiological modeling of Covid-19
Schubert, Richard ; Kašpar, Jakub (referee) ; Mézl, Martin (advisor)
This thesis deals with the continuous epidemiological deterministic compartmental models and the COVID-19 pandemic modeling distinctive features. The effect of different probability distributions of individuals stay in compartments is studied numerically in relation to basic reproductive number and the final size of the epidemic, respectively. New model for a retrospective analysis of the first half of 2020 northern Italy epidemiological data is proposed. The model parameters estimation is performed using minimisation of weighted sum of squared residuals and the search through parameter space with BFGS algorithm implementation.
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Face detection in image
Pospíšil, Lukáš ; Harabiš, Vratislav (referee) ; Mézl, Martin (advisor)
The main puprose of this paper is to introduce some of algorithms used in face detection in images. This paper focuses on face detection by using a skin-color based segmentation that is computed in three color spectrums (RGB,YCbCr and HSV). This paper also includes software for face detection in pictures and videos.
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Optimization of Contrast in MRI of Labeled Thrombi
Dohnalová, Petra ; Mézl, Martin (referee) ; Jiřík, Radovan (advisor)
This bachelor thesis deals with the general principle of molecular MRI, the formation, composition of trombi and their impact on the human body. It also deals with the contrast agents, to which molecules are they targeted and why, as well as the principle of interactions with these target molecules. The following are found values of native relaxation times for thrombi, blood, gray and white matter and relaxivities of contrast agents at different values of B0 magnetic field. The next part is dedicated to the program for simulations of T1- and T2- weighted MRI and searching for the optimal setting of acquisition parametersbased on the achieved contrast. Finally, the possibility of combining T1- and T2- weighted images to increase contrast is explored.
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Ultrasound image processing
Pokorný, Vojtěch ; Harabiš, Vratislav (referee) ; Mézl, Martin (advisor)
Ultrasound is an important imaging modality used in medicine. This bachelor’s thesis includes theory regarding physical characteristics of ultrasonic waves, a brief overview of the historical development of ultrasound as an imaging modality in medicine, biophysics of spreading and biological effects of ultrasound waves on tissues and types of display final images. Next part of the thesis describes diagnostic ultrasound device, including the most common used types of ultrasound probes. This part is followed by description of animal Vevo 2100 ultrasound system from which the acquired data are processed further. Processing includes the loading, display and for DICOM files saving too. At various file formats DICOM standard comparison is done. The last chapter deals with the filtration of characteristic noise for ultrasound images called speckle.
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Precise Image Registration Used for Correction of Geometrical Image Distortion
Zemčíková, Petra ; Odstrčilík, Jan (referee) ; Mézl, Martin (advisor)
Cílem předkládané diplomové práce je pomocí lícování obrazů přesně popsat distorzní pole pro následné odstranění geometrické distorze. Snímky zkreslené geometrickou distorzí pochází z prozařovacího elektronového mikroskopu. První část práce se zabývá zejména teorií spojenou s elektronovou mikroskopií, vznikem geometrické distorze a samotnou obrazovou registrací s důrazem na intenzitní flexibilní metody lícování. Ve druhé části je pak představena vytvořená metoda pro modelování geometrické distorze a lícování obrazů postižených slabou geometrickou distorzí. Vyvinutá metoda je následně otestována na testovacích i reálných datech a srovnána s existujícími popsanými metodami pro obrazovou registraci (například open-source softwarem Elastix).
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