4.7 Article Data Paper

7 Tesla MRI of the ex vivo human brain at 100 micron resolution

Journal

SCIENTIFIC DATA
Volume 6, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41597-019-0254-8

Keywords

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Funding

  1. National Institutes of Health (NIH) National Institute of Neurological Disorders and Stroke [K23-NS094538, R01-NS052585, R21-NS072652, R01-NS070963, R01-NS083534, U01-NS086625, R21-NS109627]
  2. National Institute for Biomedical Imaging and Bioengineering [P41-EB015896, R01-EB006758, R21-EB018907, R01-EB019956, R01-EB023281, R00-EB021349]
  3. National Institute on Aging [R01-AG057672, R01-AG022381, R01-AG008122, R01-AG016495, U01-AG006781, R21-AG046657, P41-RR014075, P50-AG005136, R56-AG064027]
  4. National Center for Alternative Medicine [RC1-AT005728]
  5. Eunice Kennedy Shriver National Institute of Child Health and Human Development [K01-HD074651, R01-HD071664, R00-HD074649]
  6. NIH Director's Office [DP2-HD101400]
  7. Centers for Disease Control and Prevention [R49-CE001171]
  8. BRAIN Initiative Cell Census Network [U01-MH117023]
  9. NIH Blueprint for Neuroscience Research as part of the multi-institutional Human Connectome Project [U01-MH093765]
  10. National Center for Research Resources [U24-RR021382]
  11. NIH [S10-RR023401, S10-RR019307, S10-RR023043]
  12. James S. McDonnell Foundation
  13. Rappaport Foundation
  14. Tiny Blue Dot Foundation
  15. German Research Foundation (Emmy Noether Grant) [410169619]

Ask authors/readers for more resources

We present an ultra-high resolution MRI dataset of an ex vivo human brain specimen. The brain specimen was donated by a 58-year-old woman who had no history of neurological disease and died of non-neurological causes. After fixation in 10% formalin, the specimen was imaged on a 7 Tesla MRI scanner at 100 mu m isotropic resolution using a custom-built 31-channel receive array coil. Single-echo multi-flip Fast Low-Angle SHot (FLASH) data were acquired over 100 hours of scan time (25 hours per flip angle), allowing derivation of synthesized FLASH volumes. This dataset provides an unprecedented view of the three-dimensional neuroanatomy of the human brain. To optimize the utility of this resource, we warped the dataset into standard stereotactic space. We now distribute the dataset in both native space and stereotactic space to the academic community via multiple platforms. We envision that this dataset will have a broad range of investigational, educational, and clinical applications that will advance understanding of human brain anatomy in health and disease.

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