2008
DOI: 10.1002/mrm.21728
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Comprehensive quantification of signal‐to‐noise ratio and g‐factor for image‐based and k‐space‐based parallel imaging reconstructions

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Cited by 366 publications
(416 citation statements)
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References 24 publications
(82 reference statements)
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“…15 On the other hand, in a scan accelerated by parallel imaging, such as 3D CAIPIRINHA, loss of SNR is a well-known limitation of undersampling. 19,20 On the other hand, the lack of fidelity of the time-intensity curve obtained from KWIC-Radial-VIBE is a known drawback in the quantification of perfusion analysis. 3 In our study, six individual subframe images were generated every 5 s with 54 radial views for the central k-space filling.…”
Section: Discussionmentioning
confidence: 99%
“…15 On the other hand, in a scan accelerated by parallel imaging, such as 3D CAIPIRINHA, loss of SNR is a well-known limitation of undersampling. 19,20 On the other hand, the lack of fidelity of the time-intensity curve obtained from KWIC-Radial-VIBE is a known drawback in the quantification of perfusion analysis. 3 In our study, six individual subframe images were generated every 5 s with 54 radial views for the central k-space filling.…”
Section: Discussionmentioning
confidence: 99%
“…SNR was computed using the pseudo‐replica method in the spectral domain 42. Linewidth was defined as the full‐width‐at‐half‐maximum of the fitted NAA resonance.…”
Section: Methodsmentioning
confidence: 99%
“…To evaluate the performance, the g-factor map (19,20), the difference image as well as the difference ADC map between the results from fully sampled and accelerated data, were determined for both standard and mutual calibration. To enable the g-factor calculation, a separate data set containing pure noise was also acquired during the same scan, as proposed in (19).…”
Section: Methodsmentioning
confidence: 99%
“…To enable the g-factor calculation, a separate data set containing pure noise was also acquired during the same scan, as proposed in (19). The noise data provided information to simulate pseudo multiple replica of synthetic random noise with correct scaling and correlation.…”
Section: Methodsmentioning
confidence: 99%