2011
DOI: 10.1002/jmri.22571
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Practical signal‐to‐noise ratio quantification for sensitivity encoding: Application to coronary MR angiography

Abstract: Purpose: To develop and evaluate a practical method for the quantification of signal-to-noise ratio (SNR) on coronary MR angiograms (MRA) acquired with parallel imaging. Materials and Methods:To quantify the spatially varying noise due to parallel imaging reconstruction, a new method has been implemented incorporating image data acquisition followed by a fast noise scan during which radiofrequency pulses, cardiac triggering and navigator gating are disabled. The performance of this method was evaluated in a ph… Show more

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Cited by 26 publications
(28 citation statements)
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“…Moreover, additional images using the spatially selective T 2 Prep with zero time gap were acquired in seven volunteers to test the effect of T gap on the resultant SNR. As quantification of SNR is not straightforward on sensitivity encoding accelerated images (16), additional 3D fast noise scans (∼9 s) with disabled RF excitations and gradients but otherwise identical scan settings were acquired immediately following all the 3D coronary MRA acquisitions for SNR measurements as previously described (17).…”
Section: Methodsmentioning
confidence: 99%
“…Moreover, additional images using the spatially selective T 2 Prep with zero time gap were acquired in seven volunteers to test the effect of T gap on the resultant SNR. As quantification of SNR is not straightforward on sensitivity encoding accelerated images (16), additional 3D fast noise scans (∼9 s) with disabled RF excitations and gradients but otherwise identical scan settings were acquired immediately following all the 3D coronary MRA acquisitions for SNR measurements as previously described (17).…”
Section: Methodsmentioning
confidence: 99%
“…All images were reconstructed online with an investigative reconstruction software enabling deblurring of spiral data using an iterative algorithm and a pre‐acquired B 0 field map with dynamic update of the drift in B 0 field due to the thermal response of the gradient system. The online reconstruction time is about 1 min 10 s. The SNR maps were quantitatively calculated as the ratio between the image and the SD derived from the noise data …”
Section: Methodsmentioning
confidence: 99%
“…To quantitatively evaluate the in vivo SNR performance, the approach described in Yu et al was used, which acquires an additional noise data set using identical imaging parameters but with RF and gradients turned off. The noise image was reconstructed in the same way as the normal image, except that for spiral noise data the T 2 ‐decay‐induced signal modulation estimated from the normal image data was used.…”
Section: Methodsmentioning
confidence: 99%