Wave-CAIPI for highly accelerated 3D imaging
Purpose To introduce the wave‐CAIPI (controlled aliasing in parallel imaging) acquisition and reconstruction technique for highly accelerated 3D imaging with negligible g‐factor and artifact penalties. Methods The wave‐CAIPI 3D acquisition involves playing sinusoidal gy and gz gradients during the r...
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Published in | Magnetic resonance in medicine Vol. 73; no. 6; pp. 2152 - 2162 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Blackwell Publishing Ltd
01.06.2015
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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Summary: | Purpose
To introduce the wave‐CAIPI (controlled aliasing in parallel imaging) acquisition and reconstruction technique for highly accelerated 3D imaging with negligible g‐factor and artifact penalties.
Methods
The wave‐CAIPI 3D acquisition involves playing sinusoidal
gy and
gz gradients during the readout of each
kx encoding line while modifying the 3D phase encoding strategy to incur interslice shifts as in 2D‐CAIPI acquisitions. The resulting acquisition spreads the aliasing evenly in all spatial directions, thereby taking full advantage of 3D coil sensitivity distribution. By expressing the voxel spreading effect as a convolution in image space, an efficient reconstruction scheme that does not require data gridding is proposed. Rapid acquisition and high‐quality image reconstruction with wave‐CAIPI is demonstrated for high‐resolution magnitude and phase imaging and quantitative susceptibility mapping.
Results
Wave‐CAIPI enables full‐brain gradient echo acquisition at 1 mm isotropic voxel size and R = 3 × 3 acceleration with maximum g‐factors of 1.08 at 3T and 1.05 at 7T. Relative to the other advanced Cartesian encoding strategies (2D‐CAIPI and bunched phase encoding) wave‐CAIPI yields up to two‐fold reduction in maximum g‐factor for nine‐fold acceleration at both field strengths.
Conclusion
Wave‐CAIPI allows highly accelerated 3D acquisitions with low artifact and negligible g‐factor penalties, and may facilitate clinical application of high‐resolution volumetric imaging. Magn Reson Med 73:2152–2162, 2015. © 2014 Wiley Periodicals, Inc. |
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Bibliography: | National Institutes of Health Blueprint for Neuroscience - No. 1U01MH093765 (Human Connectome Project) istex:0260C07574BD53D5F986F26CF13EB7D70F78ED15 ark:/67375/WNG-4WWT2N5Z-S ArticleID:MRM25347 National Institutes of Health - No. R00EB012107; No. P41RR14075 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.25347 |