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  UltraCortex: Submillimeter Ultra-High Field 9.4 T Brain MR Image Collection and Manual Cortical Segmentations

Mahler, L., Steiglechner, J., Bender, B., Lindig, T., Ramadan, D., Bause, J., et al. (submitted). UltraCortex: Submillimeter Ultra-High Field 9.4 T Brain MR Image Collection and Manual Cortical Segmentations.

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 Creators:
Mahler, L1, Author           
Steiglechner, J1, Author           
Bender, B, Author                 
Lindig, T1, Author                 
Ramadan, D1, Author                 
Bause, J1, Author                 
Birk, F1, Author                 
Heule, R2, Author                 
Charyasz, E1, Author                 
Erb, M2, Author                 
Kumar, VJ1, Author                 
Hagberg, GE2, Author                 
Martin, P, Author
Lohmann, G1, Author                 
Scheffler, K1, Author                 
Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              
2Institutional Guests, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3505519              

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 Abstract: The UltraCortex repository (https:/www.ultracortex.org) 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.

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 Dates: 2024-06
 Publication Status: Submitted
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1101/2024.06.18.599541
 Degree: -

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