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Multi-site harmonization of 7 tesla MRI neuroimaging protocols
Increasing numbers of 7 T (7 T) magnetic resonance imaging (MRI) scanners are in research and clinical use. 7 T MRI can increase the scanning speed, spatial resolution and contrast-to-noise-ratio of many neuroimaging protocols, but technical challenges in implementation have been addressed in a vari...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7212005/ https://www.ncbi.nlm.nih.gov/pubmed/31712167 http://dx.doi.org/10.1016/j.neuroimage.2019.116335 |
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author | Clarke, William T. Mougin, Olivier Driver, Ian D. Rua, Catarina Morgan, Andrew T. Asghar, Michael Clare, Stuart Francis, Susan Wise, Richard G. Rodgers, Christopher T. Carpenter, Adrian Muir, Keith Bowtell, Richard |
author_facet | Clarke, William T. Mougin, Olivier Driver, Ian D. Rua, Catarina Morgan, Andrew T. Asghar, Michael Clare, Stuart Francis, Susan Wise, Richard G. Rodgers, Christopher T. Carpenter, Adrian Muir, Keith Bowtell, Richard |
author_sort | Clarke, William T. |
collection | PubMed |
description | Increasing numbers of 7 T (7 T) magnetic resonance imaging (MRI) scanners are in research and clinical use. 7 T MRI can increase the scanning speed, spatial resolution and contrast-to-noise-ratio of many neuroimaging protocols, but technical challenges in implementation have been addressed in a variety of ways across sites. In order to facilitate multi-centre studies and ensure consistency of findings across sites, it is desirable that 7 T MRI sites implement common high-quality neuroimaging protocols that can accommodate different scanner models and software versions. With the installation of several new 7 T MRI scanners in the United Kingdom, the UK7T Network was established with an aim to create a set of harmonized structural and functional neuroimaging sequences and protocols. The Network currently includes five sites, which use three different scanner platforms, provided by two different vendors. Here we describe the harmonization of functional and anatomical imaging protocols across the three different scanner models, detailing the necessary changes to pulse sequences and reconstruction methods. The harmonized sequences are fully described, along with implementation details. Example datasets acquired from the same subject on all Network scanners are made available. Based on these data, an evaluation of the harmonization is provided. In addition, the implementation and validation of a common system calibration process is described. |
format | Online Article Text |
id | pubmed-7212005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72120052020-05-11 Multi-site harmonization of 7 tesla MRI neuroimaging protocols Clarke, William T. Mougin, Olivier Driver, Ian D. Rua, Catarina Morgan, Andrew T. Asghar, Michael Clare, Stuart Francis, Susan Wise, Richard G. Rodgers, Christopher T. Carpenter, Adrian Muir, Keith Bowtell, Richard Neuroimage Article Increasing numbers of 7 T (7 T) magnetic resonance imaging (MRI) scanners are in research and clinical use. 7 T MRI can increase the scanning speed, spatial resolution and contrast-to-noise-ratio of many neuroimaging protocols, but technical challenges in implementation have been addressed in a variety of ways across sites. In order to facilitate multi-centre studies and ensure consistency of findings across sites, it is desirable that 7 T MRI sites implement common high-quality neuroimaging protocols that can accommodate different scanner models and software versions. With the installation of several new 7 T MRI scanners in the United Kingdom, the UK7T Network was established with an aim to create a set of harmonized structural and functional neuroimaging sequences and protocols. The Network currently includes five sites, which use three different scanner platforms, provided by two different vendors. Here we describe the harmonization of functional and anatomical imaging protocols across the three different scanner models, detailing the necessary changes to pulse sequences and reconstruction methods. The harmonized sequences are fully described, along with implementation details. Example datasets acquired from the same subject on all Network scanners are made available. Based on these data, an evaluation of the harmonization is provided. In addition, the implementation and validation of a common system calibration process is described. 2020-02-01 2019-11-08 /pmc/articles/PMC7212005/ /pubmed/31712167 http://dx.doi.org/10.1016/j.neuroimage.2019.116335 Text en http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Clarke, William T. Mougin, Olivier Driver, Ian D. Rua, Catarina Morgan, Andrew T. Asghar, Michael Clare, Stuart Francis, Susan Wise, Richard G. Rodgers, Christopher T. Carpenter, Adrian Muir, Keith Bowtell, Richard Multi-site harmonization of 7 tesla MRI neuroimaging protocols |
title | Multi-site harmonization of 7 tesla MRI neuroimaging protocols |
title_full | Multi-site harmonization of 7 tesla MRI neuroimaging protocols |
title_fullStr | Multi-site harmonization of 7 tesla MRI neuroimaging protocols |
title_full_unstemmed | Multi-site harmonization of 7 tesla MRI neuroimaging protocols |
title_short | Multi-site harmonization of 7 tesla MRI neuroimaging protocols |
title_sort | multi-site harmonization of 7 tesla mri neuroimaging protocols |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7212005/ https://www.ncbi.nlm.nih.gov/pubmed/31712167 http://dx.doi.org/10.1016/j.neuroimage.2019.116335 |
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