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pubmed-article:19097243pubmed:abstractTextThe concentric rings two-dimensional (2D) k-space trajectory enables flexible trade-offs between image contrast, signal-to-noise ratio (SNR), spatial resolution, and scan time. However, to realize these benefits for in vivo imaging applications, a robust method is desired to deal with fat signal in the acquired data. Multipoint Dixon techniques have been shown to achieve uniform fat suppression with high SNR-efficiency for Cartesian imaging, but application of these methods for non-Cartesian imaging is complicated by the fact that fat off-resonance creates significant blurring artifacts in the reconstruction. In this work, two fat-water separation algorithms are developed for the concentric rings. A retracing design is used to sample rings near the center of k-space through multiple revolutions to characterize the fat-water phase evolution difference at multiple time points. This acquisition design is first used for multipoint Dixon reconstruction, and then extended to a spectroscopic approach to account for the trajectory's full evolution through 3D k-t space. As the trajectory is resolved in time, off-resonance effects cause shifts in frequency instead of spatial blurring in 2D k-space. The spectral information can be used to assess field variation and perform robust fat-water separation. In vivo experimental results demonstrate the effectiveness of both algorithms.lld:pubmed
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pubmed-article:19097243pubmed:issn1522-2594lld:pubmed
pubmed-article:19097243pubmed:authorpubmed-author:NishimuraDwig...lld:pubmed
pubmed-article:19097243pubmed:authorpubmed-author:LeeJin...lld:pubmed
pubmed-article:19097243pubmed:authorpubmed-author:WuHochong HHHlld:pubmed
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pubmed-article:19097243pubmed:volume61lld:pubmed
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pubmed-article:19097243pubmed:pagination639-49lld:pubmed
pubmed-article:19097243pubmed:dateRevised2011-2-21lld:pubmed
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pubmed-article:19097243pubmed:year2009lld:pubmed
pubmed-article:19097243pubmed:articleTitleFat/water separation using a concentric rings trajectory.lld:pubmed
pubmed-article:19097243pubmed:affiliationMagnetic Resonance Systems Research Laboratory, Department of Electrical Engineering, Stanford University, Stanford, California 94305-9510, USA. hochong@stanford.edulld:pubmed
pubmed-article:19097243pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:19097243pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed
pubmed-article:19097243pubmed:publicationTypeResearch Support, N.I.H., Extramurallld:pubmed
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