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The traveling heads 2.0: Multicenter reproducibility of quantitative imaging methods at 7 Tesla

Authors :
Maximilian N. Voelker
Oliver Kraff
Steffen Goerke
Frederik B. Laun
Jannis Hanspach
Kerrin J. Pine
Philipp Ehses
Moritz Zaiss
Andrzej Liebert
Sina Straub
Korbinian Eckstein
Simon Robinson
Armin N. Nagel
Maria R. Stefanescu
Astrid Wollrab
Sabrina Klix
Jörg Felder
Michael Hock
Dario Bosch
Nikolaus Weiskopf
Oliver Speck
Mark E. Ladd
Harald H. Quick
Source :
NeuroImage, Vol 232, Iss , Pp 117910- (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

Object: This study evaluates inter-site and intra-site reproducibility at ten different 7 T sites for quantitative brain imaging. Material and Methods: Two subjects – termed the “traveling heads” – were imaged at ten different 7 T sites with a harmonized quantitative brain MR imaging protocol. In conjunction with the system calibration, MP2RAGE, QSM, CEST and multi-parametric mapping/relaxometry were examined. Results: Quantitative measurements with MP2RAGE showed very high reproducibility across sites and subjects, and errors were in concordance with previous results and other field strengths. QSM had high inter-site reproducibility for relevant subcortical volumes. CEST imaging revealed systematic differences between the sites, but reproducibility was comparable to results in the literature. Relaxometry had also very high agreement between sites, but due to the high sensitivity, differences caused by different applications of the B1 calibration of the two RF coil types used were observed. Conclusion: Our results show that quantitative brain imaging can be performed with high reproducibility at 7 T and with similar reliability as found at 3 T for multicenter studies of the supratentorial brain.

Details

Language :
English
ISSN :
10959572
Volume :
232
Issue :
117910-
Database :
Directory of Open Access Journals
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
edsdoj.f93edf3e26ca4e72b5d2a39970ee20ea
Document Type :
article
Full Text :
https://doi.org/10.1016/j.neuroimage.2021.117910