2012
DOI: 10.1016/j.media.2011.12.004
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A fast analysis method for non-invasive imaging of blood flow in individual cerebral arteries using vessel-encoded arterial spin labelling angiography

Abstract: Graphical abstractHighlights► Non-invasive vessel selective MR angiography. ► Fast Bayesian analysis for artery flow contributions. ► Robust treatment of imperfect artery location specification e.g. due to patient movement. ► Robust to clinical scenarios, e.g. occluded arteries.

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Cited by 25 publications
(35 citation statements)
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“…Similarly, the mean SNR of the standard encoding was greater than random encoding in both scenarios ( P = 0.027 in the aligned case and P = 0.008 in the rotated case). The lack of a significant difference between the standard and OES methods is to be expected, as the MAP analysis is able to partially compensate for poorly conditioned encoding matrices .…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Similarly, the mean SNR of the standard encoding was greater than random encoding in both scenarios ( P = 0.027 in the aligned case and P = 0.008 in the rotated case). The lack of a significant difference between the standard and OES methods is to be expected, as the MAP analysis is able to partially compensate for poorly conditioned encoding matrices .…”
Section: Resultsmentioning
confidence: 99%
“…A Bayesian, maximum a posteriori (MAP) method was used to separate out vessel‐specific information . This method considers subsets of the encoding matrix, hence it can deal with poorly conditioned encoding matrices without significant loss of SNR.…”
Section: Methodsmentioning
confidence: 99%
“…In order to separate the blood signals arising from each feeding artery from the vessel‐encoded data, a fast maximum a posteriori Bayesian version of the general framework for vessel‐encoded analysis was applied to the magnitude images. This method is SNR efficient and compensates for rigid body motion between the vessel localization scan and the vessel‐encoded acquisitions.…”
Section: Methodsmentioning
confidence: 99%
“…All VEPCASL images were analyzed using a Bayesian maximum a posteriori (MAP) method [38] to separate out vessel-specific information. In order to quantitatively compare the 2D accelerated Cartesian and radial approaches the SNR in the vessel-selective angiograms for each subject was calculated.…”
Section: Image Analysismentioning
confidence: 99%