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Spinal Cord Segmentation and T2*-relaxation times of GM and WM within the Spinal Cord at 9.4T

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Geldschläger,  O
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Bosch,  D
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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Avdievitch,  N
Research Group MR Spectroscopy and Ultra-High Field Methodology, 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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Henning,  A
Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Geldschläger, O., Bosch, D., Avdievitch, N., Scheffler, K., & Henning, A. (2020). Spinal Cord Segmentation and T2*-relaxation times of GM and WM within the Spinal Cord at 9.4T. Poster presented at 2020 ISMRM & SMRT Virtual Conference & Exhibition.


Cite as: http://hdl.handle.net/21.11116/0000-0006-D855-7
Abstract
This study presents the first investigations with algorithmic spinal cord-segmentation, as well as gray matter/white matter-segmentation within the spinal cord, at the ultrahigh field strength of 9.4T. On multi-echo gradient-echo acquisitions from three subjects, the tested algorithms perform the segmentations correctly. Based on these multi-echo data, pixel-wise T2*-relaxation time maps were calculated. By means of the segmentations, averaged T2*-times of 24.88ms +- 6.68ms for gray matter and 19.37ms +- 8.66ms for white matter, were calculated.