The B-Q Minded Brain Study (TRCSMM) dataset provides test–retest cross-scanner multi-modal MRI data from healthy volunteers.
It was created as part of the B-Q MINDED project — an international research effort on quantitative MRI (qMRI) coordinated by Prof. Dr. Jan Sijbers at the University of Antwerp.
The study aims to evaluate and harmonize qMRI metrics across scanners to improve data comparability and robustness in multi-center neuroimaging research.
Funded by the EU Horizon 2020 program (Marie Skłodowska-Curie grant agreement No. 764513), B-Q MINDED integrates research, innovation, and training to pave the way for clinical translation of qMRI.
Creative Commons Attribution 4.0 International (CC BY 4.0)
Pinto, M., Paolella, R., Smekens, C., Vanhevel, F., Billiet, T., Sijbers, J., & Van Dyck, P. (2025).
Test–Retest Cross-Scanner Multi-Modal Brain MRI of Healthy Subjects: B-Q Minded Brain Study [Data set]. Zenodo.
https://doi.org/10.5281/zenodo.6473268Pinto M.S., Anania V., Paolella R., Smekens C., Billiet T., Janssens T., den Dekker A.J., Sijbers J., Guns P-J., & Van Dyck P. (2025).
Harmonization of diffusion MRI on healthy subjects using NeuroCombat and LongCombat: a B-Q Minded brain intra- and inter-scanner study.
Frontiers in Neuroscience, 19:1591169. https://doi.org/10.3389/fnins.2025.1591169
https://doi.org/10.5281/zenodo.6473268
Contact: maira.pinto@uantwerpen.be
Project: B-Q MINDED
Funding: EU Horizon 2020, Marie Skłodowska-Curie grant agreement No. 764513
| Category | Details |
|---|---|
| Subjects | Healthy volunteers |
| Study Type | Test-retest, cross-scanner, multi-modal MRI |
| Institutions | University of Antwerp (UA), Antwerp University Hospital (UZA), icometrix, Siemens |
| Scanners | Siemens Skyra 3T and Siemens PrismaFit 3T |
| Location | UZA Radiology Department, Belgium |
| Sequences | Anatomical MRI and Diffusion MRI |
| Ethics Approval | UZA Ethics Committee No. 19/50/620 (Belgian registration B300202042715) |
| Approval Date | January 6, 2020 |
The TRCSMM Brain Study evaluates intra- and inter-scanner reproducibility of MRI metrics and provides a foundation for cross-platform diffusion MRI harmonization.
It supports reproducibility research and algorithm development in quantitative neuroimaging.
| File | Size | Checksum |
|---|---|---|
| BQMinded_data.zip | 8.1 GB | md5:646d1f867bf88aa57084959478d276c8 |
MRI • Diffusion MRI • Harmonization • Inter-scanner • Intra-scanner • Cross-scanner • Test–retest • Healthy Volunteers