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Simulation von Basisspektren zur Frequenzdomänenanalyse von in vivo 1H NMR-Spektren mittels LCModel [Simulation of Basis Spectra for Frequency Domain Analysis of in vivo 1H NMR Spectra using LCModel]

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons83997

Juchem,  C
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84063

Logothetis,  NK
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84137

Pfeuffer,  J
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Treiber, S., Juchem, C., Logothetis, N., & Pfeuffer, J.(2003). Simulation von Basisspektren zur Frequenzdomänenanalyse von in vivo 1H NMR-Spektren mittels LCModel [Simulation of Basis Spectra for Frequency Domain Analysis of in vivo 1H NMR Spectra using LCModel] (117).


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-DC2B-4
Abstract
1H NMR spectroscopy provides a quantitative chemical analysis of brain metabolites. Thus it is a useful, non-invasive method to follow in vivo both the regular metabolism in the brain and the pathological changes. LCModel is a commonly used program to quantify in vivo spectroscopic data of brain metabolites in the frequency domain. The program LCModel uses prior knowledge in the form of sets of basis spectra to decompose the measured spectra by means of a linear combination from the single spectra of the expected metabolites. The task of the internship was to use the specialized software package NMR-Sim (Analytic Suite, Bruker) and to simulate such basis sets for different magnetic field strengths based on published literature values. As a result, it is now possible to analyze and quantify the measured in vivo spectroscopic data automatically and to compare the appearance of the single magnetic resonance spectra at different field strengths.