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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
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.
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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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