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Meeting Abstract

In-vivo proton MR spectroscopic imaging of the human brain gliomas at 9.4 Tesla: evaluation of metabolite coordinates

MPS-Authors
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Chadzynski,  GK
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Hagberg,  G
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Bause,  J
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Shajan,  G
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Pohmann,  R
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84187

Scheffler,  K
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

External Resource

http://www.ismrm.org/15/program_files/ThuPP01.htm
(Publisher version)

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Citation

Chadzynski, G., Hagberg, G., Bause, J., Shajan, G., Bisdas, S., Pohmann, R., et al. (2015). In-vivo proton MR spectroscopic imaging of the human brain gliomas at 9.4 Tesla: evaluation of metabolite coordinates. In 23rd Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2015).


Cite as: https://hdl.handle.net/11858/00-001M-0000-002A-45BE-9
Abstract
Recently it was demonstrated that the advantages of ultra-high field MR spectroscopic imaging (MRSI), namely the better signal-to-noise ratio and the improved spectral resolution, can be useful in clinical applications. Studies conducted at lower field strengths (below 3T) have shown that an evaluation with the Orthonormal Discriminant Vector method (ODV) enables differentiation between low (WHO grade II and III) and high grade (WHO grade IV) human brain tumors. The aim of this study was to verify the usefulness of the ODV method in assessing human brain tumor spectra measured with MRSI at a field strength of 9.4T.