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Simulations of synthetic diffusion MRI data based on Brownian motion
Valla, Radek ; Mikl, Michal (referee) ; Labounek, René (advisor)
This master thesis focuses on dMRI (diffusion magnetic resonance imaging) and its dependance on diffusion in human brain tissue. It is described how to retrieve an image from gained data and its properties, advantages and disadvantages. It mentions problem in detecting kissing fibres due to its similarity with crossing fibres. Design of mathematical models of axons is decribed and suggested measurement to detect difference in signals for kissing and crossing fibres. It describes new simulator of diffusion-weighted MRI (dMRI) data which is able to generate it based on random walk algorithm with geometrical constraints not only for crossing fiber geometry, but also as o novelty for bending and kissing fiber geometries. This study contains results of simulations and disscusion about their usefulness with suggestions for simulator improvement. Simulated dMRI data shows significant difference in certain gradients. Data reconstruction shows, that these reults cannot be reconstructed into the same geometry as it was simulated for.
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Classification systems in the hospitals
Valla, Radek ; Sekora, Jiří (referee) ; Balogh, Jaroslav (advisor)
Classification systems in health care in the Czech Republic come increasingly to the fore when billing for services provided by hospitals. This work presents a review of classification systems and is focused on systems dealing with economic demands of hospitalization (DRG) in Czech Republic and abroad. In the Czech Republic, hospitals are working with IR-DRG system; therefore it is discussed in a separate chapter. The work also includes design of web application using technologies from InterSystems. The application serves as a module of the hospital information system Clinicom to calculate hospitalization rates by classification into the DRG.
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Classification systems in the hospitals
Valla, Radek ; Sekora, Jiří (referee) ; Balogh, Jaroslav (advisor)
Classification systems in health care in the Czech Republic come increasingly to the fore when billing for services provided by hospitals. This work presents a review of classification systems and is focused on systems dealing with economic demands of hospitalization (DRG) in Czech Republic and abroad. In the Czech Republic, hospitals are working with IR-DRG system; therefore it is discussed in a separate chapter. The work also includes design of web application using technologies from InterSystems. The application serves as a module of the hospital information system Clinicom to calculate hospitalization rates by classification into the DRG.
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Simulations of synthetic diffusion MRI data based on Brownian motion
Valla, Radek ; Mikl, Michal (referee) ; Labounek, René (advisor)
This master thesis focuses on dMRI (diffusion magnetic resonance imaging) and its dependance on diffusion in human brain tissue. It is described how to retrieve an image from gained data and its properties, advantages and disadvantages. It mentions problem in detecting kissing fibres due to its similarity with crossing fibres. Design of mathematical models of axons is decribed and suggested measurement to detect difference in signals for kissing and crossing fibres. It describes new simulator of diffusion-weighted MRI (dMRI) data which is able to generate it based on random walk algorithm with geometrical constraints not only for crossing fiber geometry, but also as o novelty for bending and kissing fiber geometries. This study contains results of simulations and disscusion about their usefulness with suggestions for simulator improvement. Simulated dMRI data shows significant difference in certain gradients. Data reconstruction shows, that these reults cannot be reconstructed into the same geometry as it was simulated for.
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