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 inMagnetic resonance in medicine Vol. 73; no. 6; pp. 2152 - 2162
Main Authors Bilgic, Berkin, Gagoski, Borjan A., Cauley, Stephen F., Fan, Audrey P., Polimeni, Jonathan R., Grant, P. Ellen, Wald, Lawrence L., Setsompop, Kawin
Format Journal Article
LanguageEnglish
Published United States Blackwell Publishing Ltd 01.06.2015
Wiley Subscription Services, Inc
Subjects
Algorithms
Brain Mapping - methods
CAIPIRINHA
CAIPIRINHA, quantitative susceptibility mapping
Humans
Image Enhancement - methods
Image Processing, Computer-Assisted - methods
Imaging, Three-Dimensional - methods
Magnetic Resonance Imaging - methods
parallel imaging
phase imaging
quantitative susceptibility mapping
parallel imaging
phase imaging
CAIPIRINHA, quantitative susceptibility mapping
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Abstract 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.
AbstractList 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 [Formulaomitted] and [Formulaomitted] gradients during the readout of each [Formulaomitted] 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.
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. 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. 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. 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.
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.
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.PURPOSETo 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.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.METHODSThe 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.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.RESULTSWave-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.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.CONCLUSIONWave-CAIPI allows highly accelerated 3D acquisitions with low artifact and negligible g-factor penalties, and may facilitate clinical application of high-resolution volumetric 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 g y and g z gradients during the readout of each k x 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.
Author Cauley, Stephen F.
Grant, P. Ellen
Gagoski, Borjan A.
Fan, Audrey P.
Bilgic, Berkin
Wald, Lawrence L.
Polimeni, Jonathan R.
Setsompop, Kawin
AuthorAffiliation 5 Harvard-MIT Health Sciences and Technology, Cambridge, MA, USA
1 Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
2 Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, Boston, MA, USA
3 Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
4 Department of Radiology, Harvard Medical School, Boston, MA, USA
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/24986223$$D View this record in MEDLINE/PubMed
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Research Support, N.I.H., Extramural
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Keywords parallel imaging
phase imaging
CAIPIRINHA, quantitative susceptibility mapping
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PublicationTitle Magnetic resonance in medicine
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2001; 221
2002; 17
2010; 32
2008; 60.2
2012
1990; 15
2011
2010
2009; 61
2006; 55.3
2013; 70
2011; 54
2005
2012; 59
2005; 25B
1998; 132
2014; 40
2001; 46
2003; 51
2010; 63
2007; 57
2010; 64.3
2012; 109
2009; 62.6
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2010; 64
1999; 42.5
1988; 8
1985; 156
2005; 53
2011; 66
1997; 38
2011; 65
2005; 54
2002; 47.6
2013
2012; 68
2001; 13
2010; 5
2012; 67
2014; 72
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2010; 51
2012; 63
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References_xml – reference: Wharton S, Bowtell R. Fiber orientation-dependent white matter contrast in gradient echo MRI. Proc Natl Acad Sci U S A 2012;109:18559-18564.
– reference: Haacke E, Tang J, Neelavalli J, Cheng Y. Susceptibility mapping as a means to visualize veins and quantify oxygen saturation. J Magn Reson Imaging 2010;32:663-676.
– reference: Liu J, Liu T, de Rochefort L, et al. Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map. Neuroimage 2012;59:2560-2568.
– reference: Marques JP, Bowtell R. Application of a Fourier-based method for rapid calculation of field inhomogeneity due to spatial variation of magnetic susceptibility. Concepts Magn Reson Part B Magn Reson Eng 2005;25B:65-78.
– reference: Kim T, Shin W, Zhao T, Beall EB, Lowe MJ, Bae KT. Whole brain perfusion measurements using arterial spin labeling with multiband acquisition. Magn Reson Med 2013;70:1653-1661.
– reference: De Rochefort L, Liu T, Kressler B, Liu J, Spincemaille P, Lebon V, Wu J, Wang Y. Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: validation and application to brain imaging. Magn Reson Med 2010;63:194-206.
– reference: Eichner C, Jafari-Khouzani K, Cauley S, et al. Slice accelerated gradient-echo spin-echo dynamic susceptibility contrast imaging with blipped CAIPI for increased slice coverage. Magn Reson Med 2013. doi:10.1002/mrm.24960.
– reference: Schweser F, Deistung A, Lehr BW, Reichenbach JR. Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism? Neuroimage 2011;54:2789-807.
– reference: Feinberg D, Beckett A, Chen L. Arterial spin labeling with simultaneous multi-slice echo planar imaging. Magn Reson Med 2013;70:1500-1506.
– reference: Bilgic B, Fan A, Polimeni JR, Cauley SF, Bianciardi M, Adalsteinsson E, Wald LL, Setsompop K. Fast quantitative susceptibility mapping with L1 regularization and automatic parameter selection. Magn Reson Med 2014;72:1444-1459.
– reference: Sodickson D, Manning W. Simultaneous acquisition of spatial harmonics (SMASH): fast imaging with radiofrequency coil arrays. Magn Reson Med 1997;38:591-603.
– reference: Zahneisen B, Poser BA, Ernst T, Stenger VA. Three-dimensional Fourier encoding of simultaneously excited slices: generalized acquisition and reconstruction framework. Magn. Reson Med 2014;71:2071-2081.
– reference: Mugler J, Brookeman J. Three-dimensional magnetization-prepared rapid gradient-echo imaging (3D MP RAGE). Magn Reson Med 1990;15:152-157.
– reference: Norris D, Boyacioğlu R, Schulz J, Barth M, Koopmans PJ. Application of PINS radiofrequency pulses to reduce power deposition in RARE/turbo spin echo imaging of the human head. Magn Reson Med 2014;71:44-49.
– reference: Pruessmann K, Weiger M, Scheidegger MB, Boesiger P. SENSE: sensitivity encoding for fast MRI. Magn Reson Med 1999;42.5:952-962.
– reference: Stäb D, Ritter C, Breuer F, Weng AM, Hahn D, Köstler H. CAIPIRINHA accelerated SSFP imaging. Magn Reson Med 2011;65:157-164.
– reference: Poser B, Koopmans P, Witzel T, Wald L, Barth M. Three dimensional echo-planar imaging at 7 Tesla. Neuroimage 2010;51:261-266.
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Snippet Purpose To introduce the wave‐CAIPI (controlled aliasing in parallel imaging) acquisition and reconstruction technique for highly accelerated 3D imaging with...
To introduce the wave-CAIPI (controlled aliasing in parallel imaging) acquisition and reconstruction technique for highly accelerated 3D imaging with...
Purpose To introduce the wave-CAIPI (controlled aliasing in parallel imaging) acquisition and reconstruction technique for highly accelerated 3D imaging with...
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Aggregation Database
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StartPage 2152
SubjectTerms Algorithms
Brain Mapping - methods
CAIPIRINHA
CAIPIRINHA, quantitative susceptibility mapping
Humans
Image Enhancement - methods
Image Processing, Computer-Assisted - methods
Imaging, Three-Dimensional - methods
Magnetic Resonance Imaging - methods
parallel imaging
phase imaging
quantitative susceptibility mapping
Title Wave-CAIPI for highly accelerated 3D imaging
URI https://api.istex.fr/ark:/67375/WNG-4WWT2N5Z-S/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fmrm.25347
https://www.ncbi.nlm.nih.gov/pubmed/24986223
https://www.proquest.com/docview/1681382559
https://www.proquest.com/docview/1682427578
https://www.proquest.com/docview/1683353126
https://pubmed.ncbi.nlm.nih.gov/PMC4281518
Volume 73
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