Submillimeter Ultra-High Field 9.4 T Brain MR Image Collection and Manual Cortical Segmentations
The UltraCortex repository houses magnetic resonance imaging data of the human brain obtained at an ultra-high field strength of 9.4 T. It contains 86 structural MR images with spatial resolutions ranging from 0.6 to 0.8 mm. Additionally, the repository includes segmentations of 12 brains into gray and white matter compartments. These segmentations have been independently validated by two expert neuroradiologists, thus establishing them as a reliable gold standard. This resource provides researchers with access to high-quality brain imaging data and validated segmentations, facilitating neuroimaging studies and advancing our understanding of brain structure and function. Existing repositories do not accommodate field strengths beyond 7 T, nor do they offer validated segmentations, underscoring the significance of this new resource.
Authors
- Julius Steiglechner
- Rahel Heule (ORCID: https://orcid.org/0000-0002-4589-6483)
- Pascal Martin (ORCID: https://orcid.org/0000-0002-0678-6417)
- Tobias Lindig (ORCID: https://orcid.org/0000-0002-8573-0656)
- J Bause (ORCID: https://orcid.org/0000-0003-3915-3541)
- Lucas Mahler
- Edyta Charyasz
- Benjamin Bender (ORCID: https://orcid.org/0000-0002-3205-4631)
- Gabriele Lohmann (ORCID: https://orcid.org/0000-0002-5922-9016)
- G Hagberg (ORCID: https://orcid.org/0000-0003-2176-7086)
- Michael Erb (ORCID: https://orcid.org/0000-0002-9311-4693)
- Vinod Kumar (ORCID: https://orcid.org/0000-0001-9691-017X)
- Florian Birk (ORCID: https://orcid.org/0000-0003-0860-3570)
- Klaus Scheffler
- Dana Ramadan
Institutions
- Max Planck Institute for Biological Cybernetics (DE)
- University Children's Hospital Tübingen (DE)
- University Children's Hospital Zurich (CH)
- Hertie Institute for Clinical Brain Research (DE)
- University of Tübingen (DE)
Publication Details
- Journal
- Scientific Data
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1038/s41597-025-04779-2
- Citations
- 2
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- Deutsche Forschungsgemeinschaft
- Max-Planck-Gesellschaft