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  Fast and efficient free induction decay MR spectroscopic imaging of the human brain at 9.4 Tesla

Chadzynski, G., Bause, J., Shajan, G., Pohmann, R., Scheffler, K., & Ehses, P. (2017). Fast and efficient free induction decay MR spectroscopic imaging of the human brain at 9.4 Tesla. Magnetic Resonance in Medicine, 78(4), 1281-1295. doi:10.1002/mrm.26539.

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Chadzynski, GL1, Autor           
Bause, J1, 2, Autor           
Shajan, G1, Autor           
Pohmann, R1, 2, Autor           
Scheffler, K1, 2, Autor           
Ehses, P1, Autor           
Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Zusammenfassung: Purpose The purpose of this work was to develop a fast and efficient MRSI-FID acquisition scheme and test its performance in vivo. The aim was to find a trade-off between the minimal total acquisition time and signal-to-noise ratio of the acquired spectra. Methods Measurements were performed on a 9.4 Tesla system. Sequence optimization included redesign of water suppression, optimization of the sequence gradients, and improvement of the sampling efficiency by minimizing the read-out time. This resulted in an acquisition time of 2:47 and 22:13 minutes for 2D (TR = 57 ms; 3-mm in-plane resolution) and 3D MRSI (TR = 57 ms; 16 slices; 3-mm isotropic resolution), respectively. Results Despite strong T1 weighting and first-order phase problems, it was possible to obtain spectra of an acceptable quality. The average line width calculated for the tCr peak across the entire field of view was 26.9 ± 9.6 Hz for 2D and 30.0 ± 11.3 Hz for 3D MRSI. In 3D measurements, the percent fraction of voxels fitted with Cramer-Rao lower bounds below 10 was 53.3 ± 4.1, 63.4 ± 8.4, and 81.0 ± 2.9 for Glu, tCr, and tNAA, respectively. Conclusion Considering the typically long duration of high-resolution MRSI, the proposed technique may be of interest for clinical applications and/or studies that focus on following the biochemistry of dynamic processes.

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 Datum: 2017-10
 Publikationsstatus: Erschienen
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 Identifikatoren: DOI: 10.1002/mrm.26539
BibTex Citekey: ChadzynskiBSPSE2016_2
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Titel: Magnetic Resonance in Medicine
Genre der Quelle: Zeitschrift
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Seiten: - Band / Heft: 78 (4) Artikelnummer: - Start- / Endseite: 1281 - 1295 Identifikator: -