Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/79458
Title: Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom
Author(s): Lüsebrink-Rindsland, Jann Falk SilvesterLook up in the Integrated Authority File of the German National Library
Mattern, HendrikLook up in the Integrated Authority File of the German National Library
Yakupov, Renat
Acosta-Cabronero, Julio
Ashtarayeh, Mohammad
Oeltze-Jafra, Steffen
Speck, OliverLook up in the Integrated Authority File of the German National Library
Issue Date: 2021
Type: Article
Language: English
URN: urn:nbn:de:gbv:ma9:1-1981185920-814124
Subjects: Whole brain in vivo MRI dataset
Human phantom
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.
URI: https://opendata.uni-halle.de//handle/1981185920/81412
http://dx.doi.org/10.25673/79458
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Sponsor/Funder: OVGU-Publikationsfonds 2021
Journal Title: Scientific data
Publisher: Nature Publ. Group
Publisher Place: London
Volume: 8
Issue: 2021
Original Publication: 10.1038/s41597-021-00923-w
Page Start: 1
Page End: 13
Appears in Collections:Fakultät für Naturwissenschaften (OA)

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