Brain MR Fingerprinting data of 5 volunteers
<p>Data of brain acquisitions using MR Fringerpringing [1] and reconstructed with an in-house implemented low-rank algorithm. Each .zip file contains the acquisitions of one volunteer on the same weekday during 8 consecutive weeks. The data is provided as MatLab (Mathworks, Natick MA) files. The files have the reconstructed series compressed in time (using SVD compression) and the compression matrix needed to obtain the full-time series reconstruction. A MatLab script is provided to obtain the full-time series from the compressed data.</p> <p><strong>This work was funded by a Research Grant from GE(B-GEHC-05)</strong></p> <p>[1]<a href="https://www.zotero.org/google-docs/?1R2bHF">Jiang Y, Ma D, Seiberlich N, Gulani V, Griswold MA. MR fingerprinting using fast imaging with steady state precession (FISP) with spiral readout. Magnetic Resonance in Medicine 2015;74:1621–31. https://doi.org/10.1002/mrm.25559.</a></p> <p> </p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
Dataset details
- Repository
- zenodo
- Published
- October 17, 2021
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.5576038
Scored with release 0.9.0
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