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Signal Processing for Diffusion Weighted Imaging
Petrek, Tomáš ; Bartušek, Karel (referee) ; Marcoň, Petr (advisor)
Diploma thesis explores the possibility of using diffusion-weighted images in medicine. The paper is a brief physical principle of operation of the magnetic resonance as a tool for non-destructive imaging of the internal structure of substances, the principle of the display contrast as T1, T2 and diffusion weighted images, the course of the sequence for obtaining images with different contrast. Medicine is faced with the problem of classification of pathological tissue in the brain. Contrast diffusion-weighted images does not visually determine the shape of pathological tissue in the form of a tumor or edema. With the T1 and T2 weighted images were calculated mask corresponding tumor and edema, that have been applied to the diffusion-weighted images. Images of the tumor and edema have been subjected diffusivity measurements and statistical evaluation for the purpose of classifying the type of tumor. Investigations were seven findings glioma and metastatic five awards. The research was focused on classifying pathological tissue.
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Analysis of Selected Artefacts in Diffusion-Based Magnetic Resonance Measurements
Marcoň, Petr ; Král, Bohumil (referee) ; Frollo, Ivan (referee) ; Bartušek, Karel (advisor)
The presented dissertation thesis analyses artefacts in diffusion-weighted images. In medical practice, the artefacts can impede the diagnostics of pathological tissues and, therefore, need to be eliminated. As the first step within the thesis, an analysis of the most frequent artefacts in diffusion-weighted images is performed, and the hitherto known approaches to artefact elimination are described. In order to facilitate the reduction of artefacts caused by the inhomogeneity of the static magnetic field and induced by eddy currents, a novel three-measurement method is shown. This technique will find application especially in measuring the diffusion coefficient of isotropic materials. At this point, it is important to note that a significant and commonly found problem is the magnetic susceptibility artefact; different magnetic susceptibility values at the boundary between two materials can cause magnetic field inhomogeneities and even complete loss of the signal. Therefore, we designed a novel method for the measurement of magnetic susceptibility in various samples of magnetically incompatible materials, which do not produce any MR signal. The technique was experimentally verified using a set of differently shaped diamagnetic and paramagnetic samples. In addition to the magnetic susceptibility problem, the thesis presents artefacts such as noise, motion-induced items, hardware limitations, chemical shift, and the dependence of the diffusion coefficient on the temperature. To enable precise measurement of the diffusion coefficient, we proposed a thermal system; in the experiment, it was determined that when the measurement error does not exceed 5%, the temperature change should not be higher than 0,1 °C. In the final sections of the thesis, practical application examples involving the designed methods are shown.
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Analysis of Selected Artefacts in Diffusion-Based Magnetic Resonance Measurements
Marcoň, Petr ; Král, Bohumil (referee) ; Frollo, Ivan (referee) ; Bartušek, Karel (advisor)
The presented dissertation thesis analyses artefacts in diffusion-weighted images. In medical practice, the artefacts can impede the diagnostics of pathological tissues and, therefore, need to be eliminated. As the first step within the thesis, an analysis of the most frequent artefacts in diffusion-weighted images is performed, and the hitherto known approaches to artefact elimination are described. In order to facilitate the reduction of artefacts caused by the inhomogeneity of the static magnetic field and induced by eddy currents, a novel three-measurement method is shown. This technique will find application especially in measuring the diffusion coefficient of isotropic materials. At this point, it is important to note that a significant and commonly found problem is the magnetic susceptibility artefact; different magnetic susceptibility values at the boundary between two materials can cause magnetic field inhomogeneities and even complete loss of the signal. Therefore, we designed a novel method for the measurement of magnetic susceptibility in various samples of magnetically incompatible materials, which do not produce any MR signal. The technique was experimentally verified using a set of differently shaped diamagnetic and paramagnetic samples. In addition to the magnetic susceptibility problem, the thesis presents artefacts such as noise, motion-induced items, hardware limitations, chemical shift, and the dependence of the diffusion coefficient on the temperature. To enable precise measurement of the diffusion coefficient, we proposed a thermal system; in the experiment, it was determined that when the measurement error does not exceed 5%, the temperature change should not be higher than 0,1 °C. In the final sections of the thesis, practical application examples involving the designed methods are shown.
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Signal Processing for Diffusion Weighted Imaging
Petrek, Tomáš ; Bartušek, Karel (referee) ; Marcoň, Petr (advisor)
Diploma thesis explores the possibility of using diffusion-weighted images in medicine. The paper is a brief physical principle of operation of the magnetic resonance as a tool for non-destructive imaging of the internal structure of substances, the principle of the display contrast as T1, T2 and diffusion weighted images, the course of the sequence for obtaining images with different contrast. Medicine is faced with the problem of classification of pathological tissue in the brain. Contrast diffusion-weighted images does not visually determine the shape of pathological tissue in the form of a tumor or edema. With the T1 and T2 weighted images were calculated mask corresponding tumor and edema, that have been applied to the diffusion-weighted images. Images of the tumor and edema have been subjected diffusivity measurements and statistical evaluation for the purpose of classifying the type of tumor. Investigations were seven findings glioma and metastatic five awards. The research was focused on classifying pathological tissue.
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