7 Tesla MRI of the ex vivo human brain at 100 micron resolution
| Autor: | Rebecca D. Folkerth, Thomas Witzel, Allison Stevens, Lee S. Tirrell, Brian L. Edlow, M. Dylan Tisdall, Andreas Horn, Azma Mareyam, Andre van der Kouwe, Jonathan R. Polimeni, Lawrence L. Wald, Jason P. Stockmann, Bruce Fischl, Jean C. Augustinack, Bram R. Diamond |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Statistics and Probability
Scanner Data Descriptor Computer science Brain imaging Library and Information Sciences Brain injuries Signal-To-Noise Ratio Education 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Magnetic resonance imaging Imaging Three-Dimensional Flip angle medicine 7 tesla mri Humans Computer vision Native space lcsh:Science Fixation (histology) medicine.diagnostic_test business.industry Brain Human brain Middle Aged Computer Science Applications medicine.anatomical_structure Array coil lcsh:Q Female Artificial intelligence Statistics Probability and Uncertainty business 030217 neurology & neurosurgery Ex vivo Information Systems Biomedical engineering Neuroanatomy |
| Zdroj: | Scientific Data Scientific Data, Vol 6, Iss 1, Pp 1-10 (2019) |
| ISSN: | 2052-4463 |
| Popis: | 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 assayTechnology Type(s)MRI ScannerFactor Type(s)flip angleSample Characteristic - OrganismHomo sapiens Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.9958688 |
| Databáze: | OpenAIRE |
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