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

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 µm, consisting of multiple additional ultrahigh resolution contrasts. Included are up to 150 µm Time-of-Flight angiogra...

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Autores principales: Lüsebrink, Falk, Mattern, Hendrik, Yakupov, Renat, Acosta-Cabronero, Julio, Ashtarayeh, Mohammad, Oeltze-Jafra, Steffen, Speck, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149725/
https://www.ncbi.nlm.nih.gov/pubmed/34035308
http://dx.doi.org/10.1038/s41597-021-00923-w
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author Lüsebrink, Falk
Mattern, Hendrik
Yakupov, Renat
Acosta-Cabronero, Julio
Ashtarayeh, Mohammad
Oeltze-Jafra, Steffen
Speck, Oliver
author_facet Lüsebrink, Falk
Mattern, Hendrik
Yakupov, Renat
Acosta-Cabronero, Julio
Ashtarayeh, Mohammad
Oeltze-Jafra, Steffen
Speck, Oliver
author_sort Lüsebrink, Falk
collection PubMed
description 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 µm, consisting of multiple additional ultrahigh resolution contrasts. Included are up to 150 µm Time-of-Flight angiography, an updated 250 µm structural T(1)-weighted reconstruction, 330 µm quantitative susceptibility mapping, up to 450 µm structural T(2)-weighted imaging, 700 µm T(1)-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 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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spelling pubmed-81497252021-06-01 Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom Lüsebrink, Falk Mattern, Hendrik Yakupov, Renat Acosta-Cabronero, Julio Ashtarayeh, Mohammad Oeltze-Jafra, Steffen Speck, Oliver Sci Data Data Descriptor 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 µm, consisting of multiple additional ultrahigh resolution contrasts. Included are up to 150 µm Time-of-Flight angiography, an updated 250 µm structural T(1)-weighted reconstruction, 330 µm quantitative susceptibility mapping, up to 450 µm structural T(2)-weighted imaging, 700 µm T(1)-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 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. Nature Publishing Group UK 2021-05-25 /pmc/articles/PMC8149725/ /pubmed/34035308 http://dx.doi.org/10.1038/s41597-021-00923-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Lüsebrink, Falk
Mattern, Hendrik
Yakupov, Renat
Acosta-Cabronero, Julio
Ashtarayeh, Mohammad
Oeltze-Jafra, Steffen
Speck, Oliver
Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom
title Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom
title_full Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom
title_fullStr Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom
title_full_unstemmed Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom
title_short Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom
title_sort comprehensive ultrahigh resolution whole brain in vivo mri dataset as a human phantom
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149725/
https://www.ncbi.nlm.nih.gov/pubmed/34035308
http://dx.doi.org/10.1038/s41597-021-00923-w
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