Dataset Open Access

NeuroMET - SPECIAL MRS Reproducibility

Rieman, Layla Tabea; Aigner, Christoph Stefan; Ellison, Stephen L.R.; Brühl, Rüdiger; Mekle, Ralf; Schmitter, Sebastian; Speck, Oliver; Rose, Georg; Ittermann, Bernd; Fillmer, Ariane

Data collector(s)
Rieman, Layla Tabea; Aigner, Christoph Stefan; Fillmer, Ariane

Magnetic Resonance Spectroscopy Data acquired in 9 healthy volunteers using a SPECIAL Localization with three different adiabatic inversion pulses (hyperbolic secant, WURST, GOIA) at a 7T Magnetom whole-body system (Siemens Healthineers, Erlangen, Germany). Every volunteer was examined 4 times (twice on day one including a repositioning between the measurements, and twice on day two a week later without repositioning between alike measurements) to investigate the repeatability and reproducibility. Please find more details in L.T. Riemann, C.S. Aigner, S.L.R. Ellison, R. Brühl, R. Mekle, S. Schmitter, O. Speck, G. Rose, B. Ittermann, A. Fillmer, "Assessment of Measurement Precision in Single Voxel Spectroscopy at 7 T: Towards Minimal Detectable Changes of Metabolite Concentrations in the Human Brain In-Vivo", Magn Reson Med DOI: DOI: 10.1002/mrm.29034 (in press).

Correspondence: layla.riemann@ptb.de, ariane.fillmer@ptb.de

Code to generate the restricted maximum-likelihood estimation (REML) and the Bland-Altman (BA) plots of the spectral shape can be found under https://gitlab1.ptb.de/LRiemann/repeatability_reproducibility.git

Following data sets are provided:

1. ConcentrationsPaper-mrm29034_20211012_Riemann-Fillmer.xls

Data that is used with the R code to obtain the REML analysis of the metabolite concentrations. Note that the zeros indicate that the metabolite concentration could not be quantified.

2. RawData-mrm29034_20211012_Riemann-Fillmer.zip folder

Raw spectral data from Magnetom Siemens 7 T scanner
file names have the following structure: "SubjectNumber_Session_ScanBlock_Pulse.dat", e.g. "p1_T1_1_GOIA.dat"

3. npy-files-mrm29034_20211012_Riemann-Fillmer.zip folder

Spectral data in a python format to generate the BA plots with the shared code;
data names have the following structure: "SubjectNumber_PulseSessionScanBlock", e.g. "p1_GOIAT11.npy" for Subject p1, GOIA Pulse (AHS for hyperbolic secant), Session T1, ScanBlock 1

4. AnonymizedVolunteerData-mrm29034_20211012_Riemann-Fillmer.xlsx

Anonymized measurement data for each individual volunteer and measurement:
age, gender, transmit voltage, linewidth, peak voltages for all three pulses (HS, GOIA, WURST), CSF -, gray and white matter fraction in the scanned voxel for each subject.

This project (18HLT09 NeuroMET2) has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
Files (4.8 GB)
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AnonymizedVolunteerData-mrm29034_20211012_Riemann-Fillmer.xlsx
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ConcentrationsPaper-mrm29034_20211012_Riemann-Fillmer.xls
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LICENSE-mrm29034_20211012_Riemann-Fillmer.txt
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npy-files-mrm29034_20211012_Riemann-Fillmer.zip
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RawData-mrm29034_20211012_Riemann-Fillmer.zip
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README-mrm29034_20211012_Riemann-Fillmer.txt
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  • Riemann, Layla T. et al. (2021), Assessment of Measurement Precision in Single Voxel Spectroscopy at 7 T: Towards Minimal Detectable Changes of Metabolite Concentrations in the Human Brain In-Vivo, DOI: 10.1002/mrm.29034

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