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Non-water-suppressed proton MR spectroscopy improves spectral quality in the human spinal cord

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84402

Henning,  A
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Hock, A., MacMillan EL, Fuchs A, Kreis R, Boesiger P, Kollias, S., & Henning, A. (2012). Non-water-suppressed proton MR spectroscopy improves spectral quality in the human spinal cord. Magnetic Resonance in Medicine, Epub ahead. doi:10.1002/mrm.24387.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-B71E-0
Zusammenfassung
Magnetic resonance spectroscopy enables insight into the chemical composition of spinal cord tissue. However, spinal cord magnetic resonance spectroscopy has rarely been applied in clinical work due to technical challenges, including strong susceptibility changes in the region and the small cord diameter, which distort the lineshape and limit the attainable signal to noise ratio. Hence, extensive signal averaging is required, which increases the likelihood of static magnetic field changes caused by subject motion (respiration, swallowing), cord motion, and scanner-induced frequency drift. To avoid incoherent signal averaging, it would be ideal to perform frequency alignment of individual free induction decays before averaging. Unfortunately, this is not possible due to the low signal to noise ratio of the metabolite peaks. In this article, frequency alignment of individual free induction decays is demonstrated to improve spectral quality by using the high signal to noise ratio water peak from non-water-suppressed proton magnetic resonance spectroscopy via the metabolite cycling technique. Electrocardiography (ECG)-triggered point resolved spectroscopy (PRESS) localization was used for data acquisition with metabolite cycling or water suppression for comparison. A significant improvement in the signal to noise ratio and decrease of the Cramér Rao lower bounds of all metabolites is attained by using metabolite cycling together with frequency alignment, as compared to water-suppressed spectra, in 13 healthy volunteers.