4.7 Article Data Paper

Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom

期刊

SCIENTIFIC DATA
卷 8, 期 1, 页码 -

出版社

NATURE RESEARCH
DOI: 10.1038/s41597-021-00923-w

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资金

  1. Initial Training Network, HiMR - FP7 Marie Curie Actions of the European Commission [FP7-PEOPLE-2012-ITN-316716]
  2. NIH [1R01-DA021146]
  3. German Research Foundation (DFG) of the DFG [2041, MO 2397/5-1, MA 9235/1-1]
  4. Forschungszentrums Medizintechnik Hamburg (fmthh) [01fmthh2017]
  5. federal state of Saxony-Anhalt [I 88]
  6. Projekt DEAL

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This study presents an extension of a structural ultrahigh resolution MRI dataset, including various additional ultrahigh resolution contrasts acquired from the same participant on a 7T scanner over ten years. The dataset comprises a comprehensive collection of multiple imaging techniques and resolutions for further investigation.
Here, we present an extension to our previously published structural ultrahigh resolution T-1-weighted magnetic resonance imaging (MRI) dataset with an isotropic resolution of 250 mu m, consisting of multiple additional ultrahigh resolution contrasts. Included are up to 150 mu m Time-of-Flight angiography, an updated 250 mu m structural T-1-weighted reconstruction, 330 mu m quantitative susceptibility mapping, up to 450 mu m structural T-2-weighted imaging, 700 mu m T-1-weighted back-to-back scans, 800 mu m diffusion tensor imaging, one hour continuous resting-state functional MRI with an isotropic spatial resolution of 1.8 mm as well as more than 120 other structural T-1-weighted volumes together with multiple corresponding proton density weighted acquisitions collected over ten years. All data are from the same participant and were acquired on the same 7 T scanner. The repository contains the unprocessed data as well as (pre-)processing results. The data were acquired in multiple studies with individual goals. This is a unique and comprehensive collection comprising a human phantom dataset. Therefore, we compiled, processed, and structured the data, making them publicly available for further investigation.

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