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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...

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Autores principales: Chen, Xiaoyang, Qu, Liangqiong, Xie, Yifang, Ahmad, Sahar, Yap, Pew-Thian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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.
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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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