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pubmed-article:18228578pubmed:abstractTextFor T(1rho) quantification, a three-dimensional (3D) acquisition is desired to obtain high-resolution images. Current 3D methods that use steady-state spoiled gradient-echo (SPGR) imaging suffer from high SAR, low signal-to-noise ratio (SNR), and the need for retrospective correction of contaminating T(1) effects. In this study, a novel 3D acquisition scheme-magnetization-prepared angle-modulated partitioned-k-space SPGR snapshots (3D MAPSS)-was developed and used to obtain in vivo T(1rho) maps. Transient signal evolving towards the steady-state were acquired in an interleaved segmented elliptical centric phase encoding order immediately after a T(1rho) magnetization preparation sequence. RF cycling was applied to eliminate the adverse impact of longitudinal relaxation on quantitative accuracy. A variable flip angle train was designed to provide a flat signal response to eliminate the filtering effect in k-space caused by transient signal evolution. Experiments in phantoms agreed well with results from simulation. The T(1rho) values were 42.4 +/- 5.2 ms in overall cartilage of healthy volunteers. The average coefficient-of-variation (CV) of mean T(1rho) values (N = 4) for overall cartilage was 1.6%, with regional CV ranging from 1.7% to 8.7%. The fitting errors using MAPSS were significantly lower (P < 0.05) than those using sequences without RF cycling and variable flip angles.lld:pubmed
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pubmed-article:18228578pubmed:authorpubmed-author:LiXiaojuanXlld:pubmed
pubmed-article:18228578pubmed:authorpubmed-author:BusseReed FRFlld:pubmed
pubmed-article:18228578pubmed:authorpubmed-author:HanEric TETlld:pubmed
pubmed-article:18228578pubmed:copyrightInfo(c) 2008 Wiley-Liss, Inc.lld:pubmed
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pubmed-article:18228578pubmed:dateRevised2011-9-26lld:pubmed
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pubmed-article:18228578pubmed:articleTitleIn vivo T(1rho) mapping in cartilage using 3D magnetization-prepared angle-modulated partitioned k-space spoiled gradient echo snapshots (3D MAPSS).lld:pubmed
pubmed-article:18228578pubmed:affiliationMusculoskeletal Quantitative Imaging Research, Department of Radiology, University of California-San Francisco, 185 Berry Street, San Francisco, CA 94107, USA. xiaojuan.li@radiology.ucsf.edulld:pubmed
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