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In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution
We present a whole-brain in vivo diffusion MRI (dMRI) dataset acquired at 760 μm isotropic resolution and sampled at 1260 q-space points across 9 two-hour sessions on a single healthy participant. The creation of this benchmark dataset is possible through the synergistic use of advanced acquisition...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084962/ https://www.ncbi.nlm.nih.gov/pubmed/33927203 http://dx.doi.org/10.1038/s41597-021-00904-z |
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author | Wang, Fuyixue Dong, Zijing Tian, Qiyuan Liao, Congyu Fan, Qiuyun Hoge, W. Scott Keil, Boris Polimeni, Jonathan R. Wald, Lawrence L. Huang, Susie Y. Setsompop, Kawin |
author_facet | Wang, Fuyixue Dong, Zijing Tian, Qiyuan Liao, Congyu Fan, Qiuyun Hoge, W. Scott Keil, Boris Polimeni, Jonathan R. Wald, Lawrence L. Huang, Susie Y. Setsompop, Kawin |
author_sort | Wang, Fuyixue |
collection | PubMed |
description | We present a whole-brain in vivo diffusion MRI (dMRI) dataset acquired at 760 μm isotropic resolution and sampled at 1260 q-space points across 9 two-hour sessions on a single healthy participant. The creation of this benchmark dataset is possible through the synergistic use of advanced acquisition hardware and software including the high-gradient-strength Connectom scanner, a custom-built 64-channel phased-array coil, a personalized motion-robust head stabilizer, a recently developed SNR-efficient dMRI acquisition method, and parallel imaging reconstruction with advanced ghost reduction algorithm. With its unprecedented resolution, SNR and image quality, we envision that this dataset will have a broad range of investigational, educational, and clinical applications that will advance the understanding of human brain structures and connectivity. This comprehensive dataset can also be used as a test bed for new modeling, sub-sampling strategies, denoising and processing algorithms, potentially providing a common testing platform for further development of in vivo high resolution dMRI techniques. Whole brain anatomical T(1)-weighted and T(2)-weighted images at submillimeter scale along with field maps are also made available. |
format | Online Article Text |
id | pubmed-8084962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80849622021-05-05 In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution Wang, Fuyixue Dong, Zijing Tian, Qiyuan Liao, Congyu Fan, Qiuyun Hoge, W. Scott Keil, Boris Polimeni, Jonathan R. Wald, Lawrence L. Huang, Susie Y. Setsompop, Kawin Sci Data Data Descriptor We present a whole-brain in vivo diffusion MRI (dMRI) dataset acquired at 760 μm isotropic resolution and sampled at 1260 q-space points across 9 two-hour sessions on a single healthy participant. The creation of this benchmark dataset is possible through the synergistic use of advanced acquisition hardware and software including the high-gradient-strength Connectom scanner, a custom-built 64-channel phased-array coil, a personalized motion-robust head stabilizer, a recently developed SNR-efficient dMRI acquisition method, and parallel imaging reconstruction with advanced ghost reduction algorithm. With its unprecedented resolution, SNR and image quality, we envision that this dataset will have a broad range of investigational, educational, and clinical applications that will advance the understanding of human brain structures and connectivity. This comprehensive dataset can also be used as a test bed for new modeling, sub-sampling strategies, denoising and processing algorithms, potentially providing a common testing platform for further development of in vivo high resolution dMRI techniques. Whole brain anatomical T(1)-weighted and T(2)-weighted images at submillimeter scale along with field maps are also made available. Nature Publishing Group UK 2021-04-29 /pmc/articles/PMC8084962/ /pubmed/33927203 http://dx.doi.org/10.1038/s41597-021-00904-z 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 Wang, Fuyixue Dong, Zijing Tian, Qiyuan Liao, Congyu Fan, Qiuyun Hoge, W. Scott Keil, Boris Polimeni, Jonathan R. Wald, Lawrence L. Huang, Susie Y. Setsompop, Kawin In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution |
title | In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution |
title_full | In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution |
title_fullStr | In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution |
title_full_unstemmed | In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution |
title_short | In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution |
title_sort | in vivo human whole-brain connectom diffusion mri dataset at 760 µm isotropic resolution |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084962/ https://www.ncbi.nlm.nih.gov/pubmed/33927203 http://dx.doi.org/10.1038/s41597-021-00904-z |
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