National Repository of Grey Literature 77 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Segmentation of cardiac tissue fibrosis in MRI data
Sokol, Norbert ; Mézl, Martin (referee) ; Kolář, Radim (advisor)
Late gadolinium enhancement cardiovascular magnetic resonance imaging can be used to visualize pre-ablation fibrosis or post-ablation myocardial scar. This can significantly helps physicians with diagnosis patients who suffer from myocardial fibrosis to determine region of fibrosis and for post-operative validation of intervention after radio-frequency catheter ablation. In this thesis, i introduce an algorithm for successful distinguish of fibrosis on datasets of patients with myocardial fibrosis, scanned at Faculty hospital at St. Anne’s University Hospital.
Algorithms for the image reconstruction from projections
Zemek, Marek ; Chmelík, Jiří (referee) ; Mézl, Martin (advisor)
This work focuses on the task of reconstructing an image from its projections, particularly in relation to the CT medical imaging modality, and the evaluation of the quality of this reconstruction using various types of algorithms. First, the theory behind contemporary reconstruction algorithms is discussed. Next, this paper deals with the implementation of several simple methods of image reconstruction in Matlab, their application on simulated as well as real data, and subsequent evaluation in terms of reconstruction quality and computational complexity.
Software tool for analysis of echocardiographic data
Oreničová, Jaroslava ; Králík, Martin (referee) ; Mézl, Martin (advisor)
The aim of the semestral project is to study the anatomy and physiology of the heart and ultrasound methods used in the cardiology. Final step is design of software tool for analyzing echocardiographic data for quantification of cardiac ventricules and calculation of its parameters
Sleep scoring using artificial neural networks
Vašíčková, Zuzana ; Mézl, Martin (referee) ; Králík, Martin (advisor)
Hlavným cieľom semestrálnej práce je vytvorenie umelej neurónovej siete, ktorá bude schopná roztriediť spánok do spánkových epoch. Na začiatku je uvedené zhrnutie informácií o spánku a spánkových epochách. V ďalších kapitolách sa nachádza dôkladnejší prehľad metod na spracovávanie signálov a na klasifikáciu. Po zhrnutí teoretických znalostí potrebných na uskutočnenie praktickej časti práce boli na základe tohto rozboru vypočítané zo signálov potrebné znaky. Tieto znaky boli podrobené štatistickej analýze a na jej základe boli vybrané niektoré znaky, ktoré boli vhodné ako vstup do neurónovej siete, ktorá je po naučení schopná triediť spánkové epochy do príslušných fáz.
Kinetic and kinematic gait analysis using VICON system
Adámková, Alžběta ; Mézl, Martin (referee) ; Svozilová, Veronika (advisor)
The Vicon optoelectronic system can be used to analyze human walking. This measurement greatly helps to diagnose problems with the motion apparatus. This work deals with the use of this system for the measurement of kinematic and kinetic values of joints for lower body model. The main aim of the bachelor thesis is to compare the results of healthy patients and patients with cerebral palsy. The theoretical part deals with the description of the gait cycle from kinematics and kinetics, and also description of the device for the analysis. In the practical part, automatic detection of values is proposed, which were evaluated, compared and discussed in the last part.
Obstructive sleep apnea detection using polysomnography
Smrčková, Markéta ; Mézl, Martin (referee) ; Králík, Martin (advisor)
This thesis attempts to find an alternative method for automatic detection of sleep apnea using polysomnographic data. The first part is focused on introduction to lungs anatomy and physiology of breathing, sleeping and cardiac system. The second part describes the process of sleep examination and particular components of polysomnographic data. The third part is focused on realization of specific method for sleep apnoea detection, application on real data and results evalutation.
Application of optimisation methods for MRI data segmentation
Olešová, Kristína ; Mézl, Martin (referee) ; Chmelík, Jiří (advisor)
This thesis deals with a segmentation of brain tissues from MRI image data and its implementation in MATLAB. Segmentation problematic is described with attention to formulating segmentation as optimization problem and segmentation of given images with different metaheuristic algorithm consequently. This approach was chosen due to information from last specialized publications, where it was accentuated for its fast computational speed and universality. This thesis tries to prove this statement with segmentation of brain images with brain tumours that have different types, number, stage of illness and phase of therapy.
Image segmentation of ultrasound images
Schwarzerová, Jana ; Odstrčilík, Jan (referee) ; Mézl, Martin (advisor)
This bachelor’s thesis deals with basic description of ultrasonography, principles of contrast-enhanced imaging and application of segmentation methods in ultrasound problematics. Some individual methods were implemented in Matlab, version R2015b. Algorithms were tested on synthetic images data, on ultrasound phantom images data and on real ultrasound images. Then the thesis was extended by ultrasound sequences segmentation.
Analysis of intracardiac electrogram of heart arrthytmias in the spectral domain
Karlíková, Adéla ; Králík, Martin (referee) ; Mézl, Martin (advisor)
The most important aspect of successful ablation and destruction of arrhythmia is to find the place where arrhythmia spreads. The site of initial activation can be found by conventional or complex techniques. This thesis describes a new conventional method that can also be applied in practice. It was found that the closer is catheter to the place of the initial activation the more dominant frequency shifts to the higher values. We will use this fact in creating an algorithm which will compare frequency values in the frequency spectrum. This algorithm will also assess how far is the catheter located from the site of the origin of the arrhythmia. In the conclusion of the thesis is an evaluation of the measured clinical data and a comparison of the effectiveness of the method.
Segmentation of cardiac tissue fibrosis in MRI data
Sokol, Norbert ; Mézl, Martin (referee) ; Kolář, Radim (advisor)
Late gadolinium enhancement cardiovascular magnetic resonance imaging can be used to visualize pre-ablation fibrosis or post-ablation myocardial scar. This can significantly helps patients with myocardial fibrosis to determine region of fibrosis and for post-operative validation of intervention after radio-frequency catheter ablation. In this thesis, i introduce an algorithm for successful distinguish of fibrosis on datasets of patients with myocardial fibrosis, scanned at Faculty hospital at St. Anne’s University Hospital.

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2 Mézl, M.
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