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  Quantitative magnetic resonance spectroscopy of brain metabolites and macromolecules at ultra-high field

Murali Manohar, S. (2021). Quantitative magnetic resonance spectroscopy of brain metabolites and macromolecules at ultra-high field. PhD Thesis, Eberhard-Karls-Universität Tübingen, Tübingen, Germany.

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Murali Manohar, SV1, 2, Author              
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1Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528692              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Proton magnetic resonance spectroscopy (1H MRS) in the human brain is a non-invasive technique capable of aiding the investigation of the neurochemical composition. The clinical importance of 1H MRS can be seen in pathological diagnosis, understanding disease mechanisms or in treatment monitoring. Reliable detection and quantification of metabolites is of paramount importance in establishing potential biomarkers for several neurological pathologies. Furthermore, broad macromolecular resonances underlying metabolite peaks in a proton spectrum also hold a wealth of information. These macromolecular resonances originate from amino acids within cytosolic peptides and proteins. Some studies in the past have even discussed their clinical relevance in pathologies such as acute multiple sclerosis, glioma, and traumatic encephalopathy. However, the characteristics of these macromolecular resonances are yet to be fully explored. In-depth knowledge about the macromolecules could open up a new horizon of potential biomarkers for neurological diseases. In addition, characterizing macromolecular resonances may help the MR community answer some of the lingering research questions such as identifying the biological background of the individual macromolecular peaks, assigning macromolecular peaks to particular amino acids, and investigating other contributions to the macromolecular signal such as sugars, DNA or RNA. Detection capabilities of MRS have increased to a great extent with increasing static magnetic field. Ultra-high field (≥7 T) MRS benefits from increased signal-to-noise ratio (SNR) and improved spectral resolution. There is also constant development in localization techniques and quantification methods to accurately measure concentrations of metabolites and macromolecules with lower signal-to-noise ratio and complex spectral pattern due to J-coupling. The first part of the thesis focuses on characterizing the physical properties of macromolecular resonances in the human brain at 9.4 T and understanding their contribution to the metabolite spectrum. T2 relaxation times are calculated and a quantitative linewidth analysis is performed to understand the degree of overlap and J-coupling effects in the observed macromolecular peaks. Moreover, a novel double inversion recovery method is proposed to determine T1 relaxation times of individual macromolecular resonance lines. The second part of the thesis focuses on quantification of metabolites in the human brain at 9.4 T using one-dimensional and two-dimensional MRS techniques. Metabolite concentrations are reported in millimoles/kg after correcting for T1- and T2-weighting effects and the tissue composition. The concentration values measured from both the acquisition techniques were compared against each other and to literature.

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 Dates: 2021-08-132021-082021
 Publication Status: Published in print
 Pages: 88, 90
 Publishing info: Tübingen, Germany : Eberhard-Karls-Universität Tübingen
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: PhD

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