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

• Published in: Scientific data Vol. 6; no. 1; pp. 244 - 10
• Main Authors: Edlow, Brian L., Mareyam, Azma, Horn, Andreas, Polimeni, Jonathan R., Witzel, Thomas, Tisdall, M. Dylan, Augustinack, Jean C., Stockmann, Jason P., Diamond, Bram R., Stevens, Allison, Tirrell, Lee S., Folkerth, Rebecca D., Wald, Lawrence L., Fischl, Bruce, van der Kouwe, Andre
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 30.10.2019; Nature Publishing Group
• Subjects: 631/1647/245/1628; 692/617/375/1345; 692/698/1688/64; 692/700/1421/65; Anatomy; Brain; Brain - anatomy & histology; Brain - diagnostic imaging; Brain architecture; Data Descriptor; Datasets; Female; Humanities and Social Sciences; Humans; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Middle Aged; multidisciplinary; Neurological diseases; NMR; Nuclear magnetic resonance; Science; Science (multidisciplinary); Signal-To-Noise Ratio; Therapeutic applications
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-019-0254-8

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. Measurement(s) nuclear magnetic resonance assay Technology Type(s) MRI Scanner Factor Type(s) flip angle Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.9958688