Journal article
Spinal cord MRI at 7T.
- Abstract:
- Magnetic resonance imaging (MRI) of the human spinal cord at 7T has been demonstrated by a handful of research sites worldwide, and the spinal cord remains one of the areas in which higher fields and resolution could have high impact. The small diameter of the cord (∼1 cm) necessitates high spatial resolution to minimize partial volume effects between gray and white matter, and so MRI of the cord can greatly benefit from increased signal-to-noise ratio and contrasts at ultra-high field (UHF). Herein we review the current state of UHF spinal cord imaging. Technical challenges to successful UHF spinal cord MRI include radiofrequency (B1) nonuniformities and a general lack of optimized radiofrequency coils, amplified physiological noise, and an absence of methods for robust B0 shimming along the cord to mitigate image distortions and signal losses. Numerous solutions to address these challenges have been and are continuing to be explored, and include novel approaches for signal excitation and acquisition, dynamic shimming and specialized shim coils, and acquisitions with increased coverage or optimal slice angulations.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 4.1MB, Terms of use)
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- Publisher copy:
- 10.1016/j.neuroimage.2017.07.003
Authors
- Publisher:
- Elsevier
- Journal:
- NeuroImage More from this journal
- Volume:
- 168
- Pages:
- 437-451
- Publication date:
- 2017-07-03
- Acceptance date:
- 2017-07-02
- DOI:
- EISSN:
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1095-9572
- ISSN:
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1053-8119
- Pmid:
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28684332
- Language:
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English
- Keywords:
- Pubs id:
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pubs:707927
- UUID:
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uuid:0ac7379a-c3f0-48b9-b48f-8ad91b6a2c54
- Local pid:
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pubs:707927
- Source identifiers:
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707927
- Deposit date:
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2017-10-24
- ARK identifier:
Terms of use
- Copyright holder:
- Elsevier Inc
- Copyright date:
- 2017
- Notes:
- © 2017 Elsevier Inc. All rights reserved. This is the accepted manuscript version of the article. The final version is available online from Elsevier at: https://doi.org/10.1016/j.neuroimage.2017.07.003
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