Abstract

Here, we present an extension to our previously published structural ultrahigh resolution T1-weighted magnetic resonance imaging (MRI) dataset with an isotropic resolution of 250 µm, consisting of multiple additional ultrahigh resolution contrasts. Included are up to 150 µm Time-of-Flight angiography, an updated 250 µm structural T1-weighted reconstruction, 330 µm quantitative susceptibility mapping, up to 450 µm structural T2-weighted imaging, 700 µm T1-weighted back-to-back scans, 800 µm 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 T1-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.

Measurement(s)

Diffusion Weighted Imaging • Magnetization-Prepared Rapid Gradient Echo MRI • Functional Magnetic Resonance Imaging • T2 (Observed)-Weighted Imaging • Gradient Echo MRI • MR Imaging Acquisition Protocol Element Time of Flight Contrast Indicator

Technology Type(s)

7 Tesla Magnetic Resonance Imaging

Sample Characteristic - Organism

Homo sapiens

Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14095997

Details

Title
Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom
Author
Falk, Lüsebrink 1   VIAFID ORCID Logo  ; Mattern Hendrik 2 ; Yakupov Renat 3 ; Acosta-Cabronero Julio 4   VIAFID ORCID Logo  ; Ashtarayeh Mohammad 5 ; Steffen, Oeltze-Jafra 6 ; Speck, Oliver 7 

 Otto-von-Guericke University, Medicine and Digitalization, Department of Neurology, Medical Faculty, Magdeburg, Germany (GRID:grid.5807.a) (ISNI:0000 0001 1018 4307); Otto-von-Guericke University, Biomedical Magnetic Resonance, Faculty of Natural Sciences, Magdeburg, Germany (GRID:grid.5807.a) (ISNI:0000 0001 1018 4307) 
 Otto-von-Guericke University, Biomedical Magnetic Resonance, Faculty of Natural Sciences, Magdeburg, Germany (GRID:grid.5807.a) (ISNI:0000 0001 1018 4307) 
 German Center of Neurodegenerative Diseases (DZNE), site Magdeburg, Germany (GRID:grid.424247.3) (ISNI:0000 0004 0438 0426) 
 Tenoke Ltd., Cambridge, UK (GRID:grid.424247.3) 
 University Medical Center Hamburg-Eppendorf, Department of Systems Neuroscience, Center for Experimental Medicine, Hamburg, Germany (GRID:grid.13648.38) (ISNI:0000 0001 2180 3484) 
 Otto-von-Guericke University, Medicine and Digitalization, Department of Neurology, Medical Faculty, Magdeburg, Germany (GRID:grid.5807.a) (ISNI:0000 0001 1018 4307); German Center of Neurodegenerative Diseases (DZNE), site Magdeburg, Germany (GRID:grid.424247.3) (ISNI:0000 0004 0438 0426); Center for Behavioral Brain Sciences, Magdeburg, Germany (GRID:grid.452320.2) (ISNI:0000 0004 0404 7236) 
 Otto-von-Guericke University, Biomedical Magnetic Resonance, Faculty of Natural Sciences, Magdeburg, Germany (GRID:grid.5807.a) (ISNI:0000 0001 1018 4307); German Center of Neurodegenerative Diseases (DZNE), site Magdeburg, Germany (GRID:grid.424247.3) (ISNI:0000 0004 0438 0426); Center for Behavioral Brain Sciences, Magdeburg, Germany (GRID:grid.452320.2) (ISNI:0000 0004 0404 7236); Leibniz Institute for Neurobiology, Magdeburg, Germany (GRID:grid.418723.b) (ISNI:0000 0001 2109 6265) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2531841891
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.