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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.
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Speckle noise suppression
Kuchař, Otakar ; Hesko, Branislav (referee) ; Mézl, Martin (advisor)
Master thesis deals with the study of ultrasound. The first part of this work is devoted to basic physical principles, imaging modes, ultrasound probes, biological effects and the last part is associated with the artifact associated with ultrasound waves. In the next part the specific noise called speckle noise is detaily discussed. The description includes both a mathematical and a statistical view. Several methods are described to eliminate this noise. In the practical part the described methods are realized and compared based on objective and subjective evaluation.
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Face detection and recognition with use of Raspberry Pi
Rozhoňová, Andrea ; Mézl, Martin (referee) ; Hesko, Branislav (advisor)
The following bachelor thesis is focused on the face detection and recognition in an image. The theoretical part divides methods of detection and recognition into several groups and there is better description and explanation of these methods in this part. At the end of the theoretical part is summarized the current utilization of person recognition on the bases of its face in practice. In the practical part is first implemented method for face detection. It is combination of two approaches - approach using haar features and approach using templates of eye. The face recognition is provided by the convolutional neural network. In conclusion there are summarized principles and problems associated with implementation on microcomputer Raspberry Pi and there is also evaluated the success of implemented methods.
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Automatic Classification of Antibiotic Discs Photographs
Hesko, Branislav ; Kolář, Radim (referee) ; Walek, Petr (advisor)
This bachelor’s thesis deals with problematics of automatical classification of antibiotical discs photographies.The aim of this work is to apply several methods on images to create output with classified images. The problem is split into preprocessing and classification by itself. Preprocessing is solved with the use of Canny’s edge detector, Hough transform for detecting lines and circles, alignment, rotation and cutting out text with individual letters. Classification is then realised using neural network and minimum distance between pixels. Explanations and analysis of this methods should help to create theoretical overview on analysed problematics. The application of these algorithms in practical part will show some persisting imperfections of choosen processing caused by low quality of photographies of antibiotical discs.
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Ultrasound image registration based on active contours
Hesko, Branislav ; Jakubíček, Roman (referee) ; Harabiš, Vratislav (advisor)
This diploma thesis aims to implement an active contour method for ultrasound image segmentation. Properties of ultrasound images, basic segmentation approaches and a~principle of choosen active contour methods are described within theoretical part. Two different groups of active contour methods exists, methods with use of gradient and without use of gradient as image feature. For comparision, one method of each group is implemented in practical part and subsequently, segmentation efficiency and properties of methods are compared in evaluation part.
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Adjustment of diagnostic instrument Array Reader C-series
Čičatka, Michal ; Hesko, Branislav (referee) ; Mézl, Martin (advisor)
Thesis deals with actualization of application for adjustment of the chemical analyser Array Reader C-series developed by company BioVendor. At the beginning it defines and sorts out chemical analysers; then describes their physical principles. Following chapters sum up knowledge about microarray analysis and describes it’s chemical and physical principles. Furthermore, the thesis deals with quality and it’s management and machine adjustment. In the thesis is also mentioned .NET Framework – software platform that will be used in the practical part of the thesis. At the end of the theoretical part is described Array Reader C-series. Practical part documents current application for adjusting the analyser. Based on personal experiences with the adjusting application was created and thoroughly described concept of a new adjusting application. Main task of this new concept should be simplification and automatization of the adjusting process. After that implementation of the new concept is described including automatation processes. In the end of this thesis both original and new versions are compared with regards to time consumption and user experience. Newer version of the application was evaluted as better than it's previous version in light of time consumption and user experience. Application was expanded for fluorescent analyzer and for both types of analyzers were developed derivated applications for service adjustment. Each of these applications was implemented to the software of BioVendor company and is used on daily basis.
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Eye movement tracking using the Raspberry Pi platform
Hunkařová, Nikol ; Mézl, Martin (referee) ; Hesko, Branislav (advisor)
This master's thesis deals with eye movement tracking using the Raspberry Pi platform. The theoretical part describes eye anatomy, eye detection and eyetracking. A system in Python programming language was designed in the practical part. This algorithm is able to perform the eye tracking function using the Raspberry Pi platform and the RPi Camera module. The OpenCV library is used for loading and preprocessing images from the camera. A method that detects and evaluates the direction of view after a calibration is available. The accuracy of the program is tested on three vector methods and two target methods for four screen resolutions.
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Therapeutic game implementation with use of EMG signal
Drozd, Tomáš ; Kolářová, Jana (referee) ; Hesko, Branislav (advisor)
This bachelor thesis describes electromyography which we can use for biofeedback. At first, it describes electromyography and methods of measuring. Then biofeedback is described and its usage for therapeutic purposes or therapeutic games. Also it introduces BITalino device which represents low-cost solution for biofeedback. For practical uses there is provided a program written in C++ which includes Super Mario World. Appliation also draws measuered signal and parameteres calcuted from it.
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Therapeutic game for reaction time measurement using the BITalino platform
Veselá, Cindy ; Mézl, Martin (referee) ; Hesko, Branislav (advisor)
This master’s thesis focuses on real-time detection of activity in electromyographic signal for reaction time measurement. For patients motivation there was designed and implemented therapeutic car game controlled throught the muscle activity. In this thesis were used three different algorithms for muscles activity detection in EMG signal. The best accuracy of this three methods has designed artificial network with U-Net hierarchy, which is used to segment samples into two categories - samples of signal with activity and samples representing calm. Accuracy of this method is 97 %. Later there were examined differences between groups of probands, different stimulus and the changes of reaction time over time.
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