"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 µm 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."
<p>"This video shows all sagittal images from the acquired FA25 volume"
</p><p>Downsized and at original speed.
</p>
There also is a video on YouTube: <a rel="nofollow" class="external free" href="https://www.youtube.com/watch?v=RXbckm2vxdk">https://www.youtube.com/watch?v=RXbckm2vxdk</a>
<p>Edlow, Brian L., Massachusetts General Hospital
Mareyam, Azma, Massachusetts General Hospital
Horn, Andreas, Charité
Polimeni, Jonathan R., Massachusetts General Hospital
Witzel, Thomas, Massachusetts General Hospital
Tisdall, M. Dylan, University of Pennsylvania
Augustinack, Jean, Massachusetts General Hospital
Stockmann, Jason P., Massachusetts General Hospital
Diamond, Bram R., Massachusetts General Hospital
Stevens, Allison, Massachusetts General Hospital
Tirrell, Lee S., Massachusetts General Hospital
Folkerth, Rebecca D., New York University
Wald, Lawrence L., Massachusetts General Hospital
Fischl, Bruce, Massachusetts General Hospital
van der Kouwe, Andre, Massachusetts General Hospital 
</p>
Brain is of a 58-year-old woman
2019-10-30
<a rel="nofollow" class="external free" href="https://datadryad.org/stash/dataset/doi:10.5061/dryad.119f80q">https://datadryad.org/stash/dataset/doi:10.5061/dryad.119f80q</a> <a rel="nofollow" class="external text" href="https://web.archive.org/web/20210209114449/https://datadryad.org/stash/dataset/doi:10.5061/dryad.119f80q">archive</a>