High spatial resolution whole‐neck MR angiography using thin‐slab stack‐of‐stars quiescent interval slice‐selective acquisition
Purpose To report a 3D multi‐echo thin‐slab stack‐of‐stars (tsSOS) quiescent‐interval slice‐selective (QISS) strategy for high‐resolution magnetic resonance angiography (MRA) of the entire neck in under seven minutes. Methods The neck arteries of eight subjects were imaged at 3 Tesla. Multi‐echo 3D...
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Published in | Magnetic resonance in medicine Vol. 84; no. 6; pp. 3316 - 3324 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Wiley Subscription Services, Inc
01.12.2020
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Subjects | |
Online Access | Get full text |
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Summary: | Purpose
To report a 3D multi‐echo thin‐slab stack‐of‐stars (tsSOS) quiescent‐interval slice‐selective (QISS) strategy for high‐resolution magnetic resonance angiography (MRA) of the entire neck in under seven minutes.
Methods
The neck arteries of eight subjects were imaged at 3 Tesla. Multi‐echo 3D tsSOS QISS using a FLASH readout was compared with 3D tsSOS FLASH, 2D QISS, 2D TOF, and 3D TOF. A root‐mean‐square (RMS) combination of echo time images was tested. Evaluation metrics included arterial signal‐to‐noise ratio (SNR), arterial‐to‐muscle contrast‐to‐noise ratio (CNR), and image quality.
Results
3D multi‐echo tsSOS QISS using a RMS combination of echo time images increased SNR and CNR by 60% and 63% with respect to the reconstruction obtained with the shortest echo time. 3D tsSOS QISS showed superior CNR with respect to 3D tsSOS FLASH imaging, and more than 3‐fold higher SNR and CNR with respect to 2D radial QISS when normalized for voxel size. 3D tsSOS QISS provided good to excellent image quality that exceeded the image quality of 2D QISS, 2D TOF, and 3D TOF (P < .05).
Conclusion
Whole‐neck high‐resolution nonenhanced MRA is feasible using 3D tsSOS QISS, and produced image quality that exceeded those of competing nonenhanced MRA protocols at 3 Tesla. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 0740-3194 1522-2594 1522-2594 |
DOI: | 10.1002/mrm.28339 |