Clarke, W. T. et al. (2020) Multi-site harmonization of 7 Tesla MRI neuroimaging protocols. NeuroImage, 206, 116335. (doi: 10.1016/j.neuroimage.2019.116335) (PMID:31712167)
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Abstract
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.
| Item Type: | Articles |
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| Additional Information: | The UK7T Network and this work was funded by the UK's Medical Research Council (MRC). [MR/N008537/1]. Centre funding: The Wellcome Centre for Integrative Neuroimaging is supported by core funding from the Wellcome Trust (203139/Z/16/Z). Cardiff University Brain Research Imaging Centre is supported by the UK Medical Research Council (MR/M008932/1) and the Wellcome Trust (WT104943). This research was co-funded by the NIHR Cambridge Biomedical Research Centre. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care. Individual funding: CTR is funded by a Sir Henry Dale Fellowship from the Wellcome Trust and the Royal Society [098436/Z/12/B]. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Morgan, Mr Andrew and Muir, Professor Keith |
| Authors: | Clarke, W. T., Mougin, O., Driver, I. D., Rua, C., Morgan, A. T., Asghar, M., Clare, S., Francis, S., Wise, R. G., Rodgers, C. T., Carpenter, A., Muir, K., and Bowtell, R. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience |
| Journal Name: | NeuroImage |
| Publisher: | Elsevier |
| ISSN: | 1053-8119 |
| ISSN (Online): | 1053-8119 |
| Published Online: | 08 November 2019 |
| Copyright Holders: | Copyright © 2019 The Authors |
| First Published: | First published in Neuroimage 206:116335 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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