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

Authors :
Hendrik Mattern
Julio Acosta-Cabronero
Mohammad Ashtarayeh
Renat Yakupov
Steffen Oeltze-Jafra
Falk Lüsebrink
Oliver Speck
Source :
Scientific Data, Scientific data, 8(1):138, Scientific data 8(1), 138 (2021). doi:10.1038/s41597-021-00923-w, Scientific Data, Vol 8, Iss 1, Pp 1-13 (2021)
Publication Year :
2020

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.<br />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: 10.6084/m9.figshare.14095997

Details

ISSN :
20524463
Volume :
8
Issue :
1
Database :
OpenAIRE
Journal :
Scientific data
Accession number :
edsair.doi.dedup.....71fa39cf5a798da85eac403b4efacc89
Full Text :
https://doi.org/10.1038/s41597-021-00923-w