National Repository of Grey Literature 316 records found  previous11 - 20nextend  jump to record: Search took 0.01 seconds. 
Spirometric measurement in LabVIEW
Hastík, Matěj ; Slávik, Vladimír (referee) ; Harabiš, Vratislav (advisor)
This bachelor thesis deals with a detailed description of functional examination of lungs. Predominant part of this thesis is focused on spirometry method and evaluation with spirometry curve. It also deals with study of Vernier LabPro, properties of spirometry probe Vernier and proposal of the structure of software in LabVIEW environment, which will serve for basic spirometry examination. The second part is devoted to the design of the program in LabVIEW, description of its features and capabilities and its actual runtime. The program is further enhanced with a feature that allows the processing, evaluation and archiving of measured spirometric curves. The program also includes a temperature compensation of breath in and breath out air.
Simulation of ultrasound sequences in contrast mode
Staňková, Jana ; Hesko, Branislav (referee) ; Harabiš, Vratislav (advisor)
This bachelor thesis deals with the principle of contrast imaging techniques for ultra-sound imaging. In the first part there are described basic principles and characteristics of ul-trasound waves for the understanding. It is also focused on ultrasound contrast agents used in contrast enhanced ultrasound imaging. The important part is the description of perfusion mo-dels with a focus obtain perfusion parametres and analyze perfusion curves obtained by mea-suring the ultrasound contrast agent over time. The second part is devoted to designing a pro-gram for generating simulated ultrasound images and description of the simulation of 2D ul-trasound tomograms.
Feedback for active hand prosthesis
Trajlinek, Jan ; Sekora, Jiří (referee) ; Harabiš, Vratislav (advisor)
This thesis deals with the solution for feedback of active prostheses to ensure that it is as similar as possible to the biological somatosensory system, and at the same time to prevent any limitations to the patient and provide the patient with as much useful information about the sensual touch as possible. With regard to these factors, the system for the detection of forces acting on the limb and the subsequent transmission of this signal to the user´s limb is proposed. This system is designed particularly for an already constructed prosthesis manufactured by Ing. Štěpán Brázdil within the diploma thesis from 2020. The thesis describes the biological response, on which all substitutive and artificial responses are based on. The thesis then further describes these substitutive and artificial responses and aims to find solution, how the biological response can be more or less replaced.
Criterial function for retinal image registration
Horáková, Pavla ; Kolář, Radim (referee) ; Harabiš, Vratislav (advisor)
This bachelor‘s thesis is focused on comparison criterial functions, which are usually used in registration of retinal images. Criterial functions reflect degree of images’ sameness thereby they influence proper registration considerably. The aim of this thesis is to discover criterial function, which is the best for image registration of retina. Registration of images is very difficult; it is important to get some informations such as an uniqueness or a shape of function.
Application of neural networks for classification of T-wave alternations
Procházka, Tomáš ; Harabiš, Vratislav (referee) ; Hrubeš, Jan (advisor)
This thesis deals with analysis of T-wave Alternans (TWA), periodical changes of T wave in ECG signal. Presence of these alternans may predict higher risk of sudden cardiac death. From the several possible ways of TWA classification, the training algorithms of self organizing maps are used in this thesis. Result of the thesis is a program, which in the first step detects QRS complexes in the signal. Then, in the next step, gained reference points are used for T-waves detection. Detected waves are represented by a vector of significant points, which is used as an input for artificial neural network. Final output of the program is a decision about presence of TWA in the signal and its rate.
Simulation of ultrasound sequences in contrast mode
Staňková, Jana ; Mézl, Martin (referee) ; Harabiš, Vratislav (advisor)
This bachelor thesis deals with the principle of contrast imaging techniques for ultrasound imaging. In the first part there are described basic principles and characteristics of ultrasound waves for the understanding. It is also focused on ultrasound contrast agents used in contrast enhanced ultrasound imaging. The important part is the description of perfusion models with a focus on obtaining perfusion parametres and analyzing perfusion curves obtained by measuring the ultrasound contrast agent over time. The second part is devoted to designing a program for generating simulated ultrasound images and description of the simulation of 2D ultrasound tomograms.
Convolutional neural networks for identification of axial 2D slices in CT data
Vavřinová, Pavlína ; Harabiš, Vratislav (referee) ; Jakubíček, Roman (advisor)
This thesis deals with the classification of axial 2D slices in CT patient’s data into six categories. The sphere of convolutional neural networks was used for this purpose. For a better understanding of this issue, the basics of neural networks and then the principles of deep learning including convolutional neural networks are explained at first. The AlexNet network was specifically selected for the intention of this identification, and it was tested on the created data set after being adaptated. The overall classification success rate was 86% ,after the final adjustments, a slight improvement was achieved and the identification success rate was 87%.
Segmentation of cerebral vessels in volumetric data
Sucháček, Jan ; Harabiš, Vratislav (referee) ; Jakubíček, Roman (advisor)
This thesis deals with the design, implementation and testing of an algorithm for segmentation of cerebral vessels in 3D CT image data with a focus on stroke. First, a 3D binary mask of the brain was created and then used to extract brain tissue from the original volumetric CT images. In the extracted brain tissue, cerebral vessels were enhanced using three advanced filters based on Hessian matrix calculation and eigenvalue analysis of the Hessian matrix. The resulting parametric images of the enhanced cerebral vessels were input to six segmentation methods that were implemented and compared in this work. The program solution of this work was implemented in Matlab R2021b. The proposed algorithm was tested on real patient data. In one of the patient CT scans, cerebral vessels were labeled as part of this thesis and this resulting volume of manually segmented cerebral vessels was used to objectively evaluate the segmentation results obtained. In the theoretical part, the anatomy, physiology and pathology of the cerebral vascular supply were studied and described. Furthermore, the imaging methods used for imaging the cerebral vascular supply were described. A review of available segmentation techniques and specific approaches already published for segmentation of the cerebral vascular supply was performed. The methods used in this thesis were also theoretically described.
MRI image segmentation based on region growing
Pham, Minh Tuan ; Walek, Petr (referee) ; Harabiš, Vratislav (advisor)
This thesis deals with the segmentation of medical images. The data were obtained using MRI representing millimeter slices. Viewer was programed in Matlab GUIDE. The Viewer allows you to read and visualize of medical image 3D data in three plane. Further it allows you to perform segmentation.
Multimodal retinal image registration
Štohanzlová, Petra ; CSc, Tomáš Suk, (referee) ; Harabiš, Vratislav (advisor)
This work deals with possibilities of registration of retinal images from different mo-dalities, concretely optical coherence tomography (OCT), scanning laser ophthalmoscopy (SLO) and fundus camera. In first stage is the interest focused on registration of SLO and fundus images, which will serve to determine area of interest for consecutive registration of OCT data. The final stage is finding correct location of OCT B-scans in fundus image. On the basis of the studied methods of registration was chosen method making use of computation of correlation coefficient for both cases. For finding optimal parameters of registration is used searching through whole space of parameters. In partial stages of the work was created algorithm for alignment of B-scans followed by detection of blood vessels and also simple algorithm for detection of blood vessels from fundus image. For more transparent registration the graphical user interface was created, which allows loading input images and displaying the result in several possible forms.

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