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Measurement and processing of diffusion data from magnetic resonance
Vankó, Bence ; Jiřík, Radovan (referee) ; Kolářová, Jana (advisor)
This bachelor thesis deals with DTI examination. The diffusion tensor model of magnetic resonance imaging is a modern diagnostic method mainly used to visualize the spatial relationship of a particular neuronal pathway of the brain. The work is divided into three main parts. The first part contains the theoretical introduction to MRI, DTI and literary research from individual scientific articles dealing with DTI experiments. The second part of the thesis deals with the search of electronic articles to choose the right acquisition. Based on the articles being studied, parameters were selected and polished during the measuring of the phantom. In the third part, the measurements are done on the basis of the resulting acquisition protocol and the data is processed in various software.
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Arterial Spin Labeling MRI Data Analyzation
Galanová, Zuzana ; Jiřík, Radovan (referee) ; Krátká, Lucie (advisor)
This bachelor´s thesis is focusing mostly on perfusion imagining, which is done by the method of arterial spin labeling. It describes physical basics of nuclear magnetic resonance, image reconstruction, perfusion imagining without contrast substances, principles of arterial spin labeling and different ways of arterial spin labeling – mostly FAIR-RARE sequence, which belongs to the pulsed arterial spin labeling. One part of the thesis is dedicated to production of perfusion map in Matlab. Results are evaluated by comparison of data produced in Matlab and data produced in Paravision Version 5.1 and they are discussed.
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Modelling of perfusion curves in dynamic magnetic resonance
Ochodnický, Erik ; Mangová, Marie (referee) ; Rajmic, Pavel (advisor)
Perfusion MRI can provide information about perfusion characteristics of the observed tissue, which makes it a widely applicable medical procedure. Measuring process of MRI is very time-consuming, and therefore, using classical reconstruction methods, we are often not able to obtain enough samples to accomplish the needed time and space resolution for perfusion analysis. That is why it is necessary to use compressed sensing, which allows reconstruction from under-sampled data by solving an optimization model. In this work, several models for reconstruction of an image sequence are verified on real and artificial data, along with multiple algorithms capable of solving these models. Among the optimization models used in this work are two L+S models with different regularization of the S component that are solved by Forward-Backward and Chambolle-Pock algorithm. The quality of reconstruction for various models was compared especially by their perfusion curves. In the last section, we explore possible modifications of the SASS model in order to increase quality of reconstruction and resistance to under sampling for the purpose of better adaptation for dynamic data.
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Graphical user interface for magnetic resonance data reconstruction
Marcin, Michal ; Rajmic, Pavel (referee) ; Mangová, Marie (advisor)
The aim of the bachelor thesis was to create graphical user interface for processing magnetic resonance data. For this purpose, the Matlab development environment was used. The basic principles of magnetic resonance, the ways of scanning and the graphical imaging as well as mathematical methods are described in the first part. The method of compression scanning and imaging of real images using laboratory mice is described in the text. In the second part of the thesis, the graphical user environment and its functions are described. The program is able to simulate and display the Shepp-Logan phantom model according to specified parameters. The created application allows the reconstruction and processing of simulated as well as real data.
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Design and construction of MR phatoms for MRI
Daňová, Ľudmila ; Odstrčilík, Jan (referee) ; Kudlička, Petr (advisor)
The object of the thesis is the design of the static phantom used in the MRI. It solves the generation of the pictures obtained from the magnetic resonance and its physical principles. The thesis focuses on two types of phantoms - dynamic and static, and especially on phantom used for the LCModel. There is also information about components that will be used for the detection of the spectrums of the selected metabolites.
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Modelling of perfusion curves in dynamic magnetic resonance
Ochodnický, Erik ; Mangová, Marie (referee) ; Rajmic, Pavel (advisor)
Perfusion MRI can provide information about perfusion characteristics of the observed tissue, which makes it a widely applicable medical procedure. Measuring process of MRI is very time-consuming, and therefore, using classical reconstruction methods, we are often not able to obtain enough samples to accomplish the needed time and space resolution for perfusion analysis. That is why it is necessary to use compressed sensing, which allows reconstruction from under-sampled data by solving an optimization model. In this work, several models for reconstruction of an image sequence are verified on real and artificial data, along with multiple algorithms capable of solving these models. Among the optimization models used in this work are two L+S models with different regularization of the S component that are solved by Forward-Backward and Chambolle-Pock algorithm. The quality of reconstruction for various models was compared especially by their perfusion curves. In the last section, we explore possible modifications of the SASS model in order to increase quality of reconstruction and resistance to under sampling for the purpose of better adaptation for dynamic data.
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Measurement and processing of diffusion data from magnetic resonance
Vankó, Bence ; Jiřík, Radovan (referee) ; Kolářová, Jana (advisor)
This bachelor thesis deals with DTI examination. The diffusion tensor model of magnetic resonance imaging is a modern diagnostic method mainly used to visualize the spatial relationship of a particular neuronal pathway of the brain. The work is divided into three main parts. The first part contains the theoretical introduction to MRI, DTI and literary research from individual scientific articles dealing with DTI experiments. The second part of the thesis deals with the search of electronic articles to choose the right acquisition. Based on the articles being studied, parameters were selected and polished during the measuring of the phantom. In the third part, the measurements are done on the basis of the resulting acquisition protocol and the data is processed in various software.
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|
Design and construction of MR phatoms for MRI
Daňová, Ľudmila ; Odstrčilík, Jan (referee) ; Kudlička, Petr (advisor)
The object of the thesis is the design of the static phantom used in the MRI. It solves the generation of the pictures obtained from the magnetic resonance and its physical principles. The thesis focuses on two types of phantoms - dynamic and static, and especially on phantom used for the LCModel. There is also information about components that will be used for the detection of the spectrums of the selected metabolites.
|
|
|
Graphical user interface for magnetic resonance data reconstruction
Marcin, Michal ; Rajmic, Pavel (referee) ; Mangová, Marie (advisor)
The aim of the bachelor thesis was to create graphical user interface for processing magnetic resonance data. For this purpose, the Matlab development environment was used. The basic principles of magnetic resonance, the ways of scanning and the graphical imaging as well as mathematical methods are described in the first part. The method of compression scanning and imaging of real images using laboratory mice is described in the text. In the second part of the thesis, the graphical user environment and its functions are described. The program is able to simulate and display the Shepp-Logan phantom model according to specified parameters. The created application allows the reconstruction and processing of simulated as well as real data.
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