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Conference Paper

Functional QSM at 9.4T with single echo gradient-echo and EPI acquisition

MPS-Authors
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Balla,  DZ
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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Ehses,  P
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;

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Budde,  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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Mirkes,  C
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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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;

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http://weill.cornell.edu/mri/QSM13/index.html
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Citation

Balla, D., Ehses, P., Pohmann, R., Budde, J., Mirkes, C., Shajan, G., et al. (2013). Functional QSM at 9.4T with single echo gradient-echo and EPI acquisition. In 2nd International Workshop on MRI Phase Contrast & Quantitative Susceptibility Mapping (QSM 2013) (pp. 1-4).


Cite as: https://hdl.handle.net/11858/00-001M-0000-001A-1422-0
Abstract
Functional quantitative susceptibility mapping was performed on high resolution time-series acquired at 9.4T. Two alternative pulse sequences, two functional stimulation paradigms and three susceptibility mapping pipelines were evaluated. In addition to the conventional statistical parametric mapping of brain activation, also multivariate processing was performed in order to investigate the effect of physiological variations on the signal, and to learn about possible differences between these effects in the evolution of signal modulus and the evolution of calculated susceptibilities. The results provide useful information on the potential and the technical limitations of functional quantitative susceptibility mapping at 9.4T.