Integration of an RF coil and commercial field camera for ultrahigh‐field MRI
Purpose To develop an RF coil with an integrated commercial field camera for ultrahigh field (7T) neuroimaging. The RF coil would operate within a head‐only gradient coil and be subject to the corresponding design constraints. The RF coil can thereafter be used for subject‐specific correction of k‐s...
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Published in: | Magnetic resonance in medicine Vol. 87; no. 5; pp. 2551 - 2565 |
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Main Authors: | , , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
Wiley Subscription Services, Inc
01-05-2022
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Subjects: | |
Online Access: | Get full text |
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Summary: | Purpose
To develop an RF coil with an integrated commercial field camera for ultrahigh field (7T) neuroimaging. The RF coil would operate within a head‐only gradient coil and be subject to the corresponding design constraints. The RF coil can thereafter be used for subject‐specific correction of k‐space trajectories—notably in gradient‐sensitive sequences such as single‐shot spiral imaging.
Methods
The transmit and receive performance was evaluated before and after the integration of field probes, whereas field probes were evaluated when in an optimal configuration external to the coil and after their integration. Diffusion‐weighted EPI and single‐shot spiral acquisitions were employed to evaluate the efficacy of correcting higher order field perturbations and the consequent effect on image quality.
Results
Field probes had a negligible effect on RF‐coil performance, including the transmit efficiency, transmit uniformity, and mean SNR over the brain. Modest reductions in field‐probe signal lifetimes were observed, caused primarily by nonidealities in the gradient and shim fields of the head‐only gradient coil at the probe positions. The field‐monitoring system could correct up to second‐order field perturbations in single‐shot spiral imaging.
Conclusion
The integrated RF coil and field camera was capable of concurrent‐field monitoring within a 7T head‐only scanner and facilitated the subsequent correction of k‐space trajectories during spiral imaging. |
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Bibliography: | Funding information Canada Foundation for Innovation, Canada First Research Excellence Fund to BrainsCAN, Brain Canada Platform Support Grant, Natural Sciences and Engineering Research Council of Canada Discovery Grants (RGPIN‐2018‐05448 and RGPIN‐2019‐04743), and the Robarts Research Institute |
ISSN: | 0740-3194 1522-2594 |
DOI: | 10.1002/mrm.29130 |