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Metabolic profile of human brain in vivo in MR image and spectrum
dc.contributor.advisorHájek, Milan
dc.creatorWagnerová, Dita
dc.date.accessioned2017-04-06T09:17:17Z
dc.date.available2017-04-06T09:17:17Z
dc.date.issued2007
dc.identifier.urihttp://hdl.handle.net/20.500.11956/12615
dc.description.abstractMagnetic resonance imaging and spectroscopic imaging have proven to be useful to monitor a metabolism in the human brain. The thesis is concerned to repeatability and reproducibility of spectroscopic data measured on 1.5T and 3T scanners and to the development of a new method enabling the separation of pathologic and healthy tissues in patients with brain tumor using the combination of MR spectroscopic and diffusion measurements. Evaluation of repeatability and reproducibility in white matter in the parieto-occipital region, in the hippocampus and in gray matter in the frontal lobe did not show significant differences in accuracy of measurements on 1.5T and 3T scanners, but showed a significant increase of signal-to-noise ratio on 3T As a part of the thesis a program KORELACE has been developed. The program enables the evaluation of spectroscopic and diffusion data on the "pixel-by-pixel" basis in individual subjects. The existence of a statistically significant inverse correlation between the concentrations of choline and the diffusion trace values has been proven in glioblastoma, but no significant correlation has been found in a healthy tissue in volunteers. The correlation can be used to characterize borders of brain tumors and to identify the healthy tissue. Simulations confirmed the influence of...en_US
dc.languageČeštinacs_CZ
dc.language.isocs_CZ
dc.publisherUniverzita Karlova, Matematicko-fyzikální fakultacs_CZ
dc.titleMetabolický profil lidského mozku in vivo v MR obraze a spektrucs_CZ
dc.typediplomová prácecs_CZ
dcterms.created2007
dcterms.dateAccepted2007-09-11
dc.description.departmentFyzikální ústav UKcs_CZ
dc.description.departmentInstitute of Physics of Charles Universityen_US
dc.description.facultyFaculty of Mathematics and Physicsen_US
dc.description.facultyMatematicko-fyzikální fakultacs_CZ
dc.identifier.repId44026
dc.title.translatedMetabolic profile of human brain in vivo in MR image and spectrumen_US
dc.contributor.refereeLang, Jan
dc.identifier.aleph000887301
thesis.degree.nameMgr.
thesis.degree.levelmagisterskécs_CZ
thesis.degree.disciplineBiofyzika a chemická fyzikacs_CZ
thesis.degree.disciplineBiophysics and chemical physicsen_US
thesis.degree.programPhysicsen_US
thesis.degree.programFyzikacs_CZ
uk.faculty-name.csMatematicko-fyzikální fakultacs_CZ
uk.faculty-name.enFaculty of Mathematics and Physicsen_US
uk.faculty-abbr.csMFFcs_CZ
uk.degree-discipline.csBiofyzika a chemická fyzikacs_CZ
uk.degree-discipline.enBiophysics and chemical physicsen_US
uk.degree-program.csFyzikacs_CZ
uk.degree-program.enPhysicsen_US
thesis.grade.csVýborněcs_CZ
thesis.grade.enExcellenten_US
uk.abstract.enMagnetic resonance imaging and spectroscopic imaging have proven to be useful to monitor a metabolism in the human brain. The thesis is concerned to repeatability and reproducibility of spectroscopic data measured on 1.5T and 3T scanners and to the development of a new method enabling the separation of pathologic and healthy tissues in patients with brain tumor using the combination of MR spectroscopic and diffusion measurements. Evaluation of repeatability and reproducibility in white matter in the parieto-occipital region, in the hippocampus and in gray matter in the frontal lobe did not show significant differences in accuracy of measurements on 1.5T and 3T scanners, but showed a significant increase of signal-to-noise ratio on 3T As a part of the thesis a program KORELACE has been developed. The program enables the evaluation of spectroscopic and diffusion data on the "pixel-by-pixel" basis in individual subjects. The existence of a statistically significant inverse correlation between the concentrations of choline and the diffusion trace values has been proven in glioblastoma, but no significant correlation has been found in a healthy tissue in volunteers. The correlation can be used to characterize borders of brain tumors and to identify the healthy tissue. Simulations confirmed the influence of...en_US
uk.publication.placePrahacs_CZ
uk.grantorUniverzita Karlova, Matematicko-fyzikální fakulta, Fyzikální ústav UKcs_CZ


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