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Interactive 3D CT Data Segmentation Based on Deep Learning
Trávníčková, Kateřina ; Hradiš, Michal (referee) ; Kodym, Oldřich (advisor)
This thesis deals with CT data segmentation using convolutional neural nets and describes the problem of training with limited training sets. User interaction is suggested as means of improving segmentation quality for the models trained on small training sets and the possibility of using transfer learning is also considered. All of the chosen methods help improve the segmentation quality in comparison with the baseline method, which is the use of automatic data specific segmentation model. The segmentation has improved by tens of percents in Dice score when trained with very small datasets. These methods can be used, for example, to simplify the creation of a new segmentation dataset.
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Displaying 3D Graphics in Web Browser
Sychra, Tomáš ; Pečiva, Jan (referee) ; Španěl, Michal (advisor)
This thesis discusses possibilities of accelerated 3D scene displaying in a Web browser. In more detail, it deals with WebGL standard and its use in real applications. An application for visualization of volumetric medical data based on JavaScript, WebGL and Three.js library was designed and implemented. Image data are loaded from Google Drive cloud storage. An important part of the application is 3D visualization of the volumetric data based on volume rendering technique called Ray-casting.
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Java Client for 3D Displaing of Medical Image Data
Bireš, Jiří ; Štancl, Vít (referee) ; Kršek, Přemysl (advisor)
The thesis considers use of Java language in interactive 3D displaying of medical image data. Main point is to find out advantages of using this language in medical visualisations and find suitable tools for its future usage. At the conclusion it evaluates advantages and disadvantages of used technologies and suggests possible development of the appliacation
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Realistic Rendering of Smoke and Clouds
Kopidol, Jan ; Žák, Pavel (referee) ; Jošth, Radovan (advisor)
This work discourses about methods of rendering volumetric data such as clouds or smoke in computer graphics and implementation of this feature to existing application. The first part is summary of techniques and tricks used in computer graphics to display such objects in scene, their pros and cons and the most used techniques of displaying volumetric data. Next part is more closely focused to choosed technique of rendering volumetric data with consideration of light behavior inside the volume (also called participating media) and basic relationships used used in computation. In following part of work there is short list of applications - renderers used to realistic rendering of scene, which are suitable for implementation of selected volumetric data rendering algorithm. Selected application - Blender is describled more deeply including its inner structure, especially rendering engine. Last part of work is dedicated to design, implementation and integration of rendering algorithm itself.
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CPU Rendering of Large Volumetric Data
Majer, Michal ; Milet, Tomáš (referee) ; Španěl, Michal (advisor)
This work examines direct rendering of large volumetric data on the CPU. The aim was to design a parallel implementation of Ray casting algorithm in the Rust programming language and to implement Early Ray Termination and Empty Space Skipping optimizations to speed up rendering. I also designed a demo application to interactively display volumes using this algorithm. A volumetric data generator was also created as part of the work.Both optimizations in the resulting solution offer a 12× speed up. Parallelization further improves this number and renders a large volume at 3.92 FPS on the tested system.
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Visualization of Marked Cells of a Model Organism
Kubíček, Radek ; Kršek, Přemysl (referee) ; Herout, Adam (advisor)
This master thesis is focused on volumetric data rendering and on highlighting and visualization of the selected cells of the model organisms. These data are captured by a confocal deconvolution microscope. Input data form one large volumetric block containing separate slices. This data block is rendered by an applicable method and then are identified and visualized the cells marked by the GFP (Green Fluorescent Protein) process or by chlorophyle fluorescency. The principal aim of this work is to find out the preferably optimal effective method enabling this highlighting, most preferably working without a manual check. Due to the data structure, this ambition seems hardly realizable, so it suffices to find out a manual working method. The last step is to embed the results of this work into FluorCam application, the confocal deconvolution microscope data visualizer.
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Displaying 3D Graphics in Web Browser
Sychra, Tomáš ; Kršek, Přemysl (referee) ; Španěl, Michal (advisor)
This bachelor's thesis deals with display of accelerated 3D graphics in a web browser environment. Existing technologies such as WebGL are presented and discussed. Further, in the second part of the thesis, an application for browsing medical volumetric data is designed and implemented. The application is built with the WebGL technology and Javascript graphics engine called O3D API.
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CPU Rendering of Large Volumetric Data
Majer, Michal ; Milet, Tomáš (referee) ; Španěl, Michal (advisor)
This work examines direct rendering of large volumetric data on the CPU. The aim was to design a parallel implementation of Ray casting algorithm in the Rust programming language and to implement Early Ray Termination and Empty Space Skipping optimizations to speed up rendering. I also designed a demo application to interactively display volumes using this algorithm. A volumetric data generator was also created as part of the work.Both optimizations in the resulting solution offer a 12× speed up. Parallelization further improves this number and renders a large volume at 3.92 FPS on the tested system.
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Volume data editor
Kavalík, Jiří ; Krajíček, Václav (advisor) ; Kolomazník, Jan (referee)
In the present work we want to design and implement simple tool for basic editing of volume data like resizing, rotating, tresholding retouching, which could be extended as needed. Currently, there are tools for volume data visualisation and simple editors for modding computer games with voxel-based graphics. There is not an editor with basic set of tools for editing volumes in resolution of medical scanners available to common user. The designed and implemented editor can run on common hardware and oth ers set of simple brushes and filters to the user and means to implement diferent tools as plugins for C# programmer.
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Organ segmentation
Kolomazník, Jan
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