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A paired dataset of T1- and T2-weighted MRI at 3 Tesla and 7 Tesla
Brain magnetic resonance imaging (MRI) provides detailed soft tissue contrasts that are critical for disease diagnosis and neuroscience research. Higher MRI resolution typically comes at the cost of signal-to-noise ratio (SNR) and tissue contrast, particularly for more common 3 Tesla (3T) MRI scanne...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374655/ https://www.ncbi.nlm.nih.gov/pubmed/37500686 http://dx.doi.org/10.1038/s41597-023-02400-y |
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author | Chen, Xiaoyang Qu, Liangqiong Xie, Yifang Ahmad, Sahar Yap, Pew-Thian |
author_facet | Chen, Xiaoyang Qu, Liangqiong Xie, Yifang Ahmad, Sahar Yap, Pew-Thian |
author_sort | Chen, Xiaoyang |
collection | PubMed |
description | Brain magnetic resonance imaging (MRI) provides detailed soft tissue contrasts that are critical for disease diagnosis and neuroscience research. Higher MRI resolution typically comes at the cost of signal-to-noise ratio (SNR) and tissue contrast, particularly for more common 3 Tesla (3T) MRI scanners. At ultra-high magnetic field strength, 7 Tesla (7T) MRI allows for higher resolution with greater tissue contrast and SNR. However, the prohibitively high costs of 7T MRI scanners deter their widespread adoption in clinical and research centers. To obtain higher-quality images without 7T MRI scanners, algorithms that can synthesize 7T MR images from 3T MR images are under active development. Here, we make available a dataset of paired T1-weighted and T2-weighted MR images at 3T and 7T of 10 healthy subjects to facilitate the development and evaluation of 3T-to-7T MR image synthesis models. The quality of the dataset is assessed using image quality metrics implemented in MRIQC. |
format | Online Article Text |
id | pubmed-10374655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103746552023-07-29 A paired dataset of T1- and T2-weighted MRI at 3 Tesla and 7 Tesla Chen, Xiaoyang Qu, Liangqiong Xie, Yifang Ahmad, Sahar Yap, Pew-Thian Sci Data Data Descriptor Brain magnetic resonance imaging (MRI) provides detailed soft tissue contrasts that are critical for disease diagnosis and neuroscience research. Higher MRI resolution typically comes at the cost of signal-to-noise ratio (SNR) and tissue contrast, particularly for more common 3 Tesla (3T) MRI scanners. At ultra-high magnetic field strength, 7 Tesla (7T) MRI allows for higher resolution with greater tissue contrast and SNR. However, the prohibitively high costs of 7T MRI scanners deter their widespread adoption in clinical and research centers. To obtain higher-quality images without 7T MRI scanners, algorithms that can synthesize 7T MR images from 3T MR images are under active development. Here, we make available a dataset of paired T1-weighted and T2-weighted MR images at 3T and 7T of 10 healthy subjects to facilitate the development and evaluation of 3T-to-7T MR image synthesis models. The quality of the dataset is assessed using image quality metrics implemented in MRIQC. Nature Publishing Group UK 2023-07-27 /pmc/articles/PMC10374655/ /pubmed/37500686 http://dx.doi.org/10.1038/s41597-023-02400-y Text en © The Author(s) 2023 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/) . |
spellingShingle | Data Descriptor Chen, Xiaoyang Qu, Liangqiong Xie, Yifang Ahmad, Sahar Yap, Pew-Thian A paired dataset of T1- and T2-weighted MRI at 3 Tesla and 7 Tesla |
title | A paired dataset of T1- and T2-weighted MRI at 3 Tesla and 7 Tesla |
title_full | A paired dataset of T1- and T2-weighted MRI at 3 Tesla and 7 Tesla |
title_fullStr | A paired dataset of T1- and T2-weighted MRI at 3 Tesla and 7 Tesla |
title_full_unstemmed | A paired dataset of T1- and T2-weighted MRI at 3 Tesla and 7 Tesla |
title_short | A paired dataset of T1- and T2-weighted MRI at 3 Tesla and 7 Tesla |
title_sort | paired dataset of t1- and t2-weighted mri at 3 tesla and 7 tesla |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374655/ https://www.ncbi.nlm.nih.gov/pubmed/37500686 http://dx.doi.org/10.1038/s41597-023-02400-y |
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