2015
DOI: 10.1016/j.mvr.2015.01.007
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Non-contrast myocardial perfusion using a novel 4D magnetic resonance arterial spin labeling technique: Initial experience

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Cited by 13 publications
(14 citation statements)
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“…12 Alternative ASL techniques have also been proposed to increase the sensitivity to myocardial perfusion. [13][14][15][16] In recent years, compressed sensing (CS) 17 has emerged as a technique for image acceleration. 18,19 CS exploits the ability to compress the signal provided that it is sparse in some transformable domain, such as the wavelet domain, thus enabling data acquisition with high undersampling factors.…”
Section: Introductionmentioning
confidence: 99%
“…12 Alternative ASL techniques have also been proposed to increase the sensitivity to myocardial perfusion. [13][14][15][16] In recent years, compressed sensing (CS) 17 has emerged as a technique for image acceleration. 18,19 CS exploits the ability to compress the signal provided that it is sparse in some transformable domain, such as the wavelet domain, thus enabling data acquisition with high undersampling factors.…”
Section: Introductionmentioning
confidence: 99%
“…Cardiac motion is minimized by using ECG triggering. To limit the effects of respiratory motion in FAIR ASL, breath‐hold strategies have been mostly suggested, which can be uncomfortable in clinical populations. Moreover, even when data are acquired during breath‐holds, generally multiple breath‐holds are required for averaging, which can lead to myocardial position displacements among image sets.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, there is a concern about the risks related to toxicities and deposition of GBCA in various tissues [4], particularly the brain [5,6]. Thus, non-contrast-enhanced MRA techniques, using spin-labeling with three-dimensional (3D) balanced steady-state free precession (bSSFP), have been developed and applied in many contexts [7][8][9][10]. A technique for renal artery assessment using 3D bSSFP has been reported as a safe and effective approach for the evaluation of RAS [11][12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%