Deuterium Metabolic Imaging repeatability dataset, Aarhus 2023
<p>### BACKGROUND</p> <p>Manuscript title: ‘Repeatability of deuterium metabolic imaging of healthy volunteers at 3T’<br> Authors: Nikolaj Bøgh, Michael Vaeggemose, Rolf Schulte, Esben SS Hansen, Christoffer Laustsen<br> Contact: Nikolaj Bøgh at nikolaj.boegh@clin.au.dk</p> <p><br> ### DESCRIPTION OF DATASET</p> <p>This dataset contains images and spectra of healthy volunteers imaged with deuterium metabolic imaging. The data files are structured as subject (sub-xx) —> session (ses-xx) —> run (run-xx). Each subject (n=6) were imaged at two sessions 6 weeks apart.<br> Each session consisted of 4 runs:<br> ⁃ run-01 before 2H-glucose administration<br> ⁃ run-02 30 minutes after 2h-glucose<br> ⁃ run-03 75 minutes after 2h-glucose<br> ⁃ run-04 120 minutes after 2h-glucose</p> <p>At each run, a T1-weighted anatomical image was acquired. In this public dataset, a defaced version is provided. The anatomical images are accompanied by the DMI data, consisting of NIFTI-files of the fitted metabolite maps and a .-mat file with the raw MRSI data.</p>
ShareScore
24/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 8
- Reuse readiness
- 8
- Engagement
- 0