2012
DOI: 10.1186/1532-429x-14-72
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A multi-center inter-manufacturer study of the temporal stability of phase-contrast velocity mapping background offset errors

Abstract: BackgroundPhase-contrast velocity images often contain a background or baseline offset error, which adds an unknown offset to the measured velocities. For accurate flow measurements, this offset must be shown negligible or corrected. Some correction techniques depend on replicating the clinical flow acquisition using a uniform stationary phantom, in order to measure the baseline offset at the region of interest and subtract it from the clinical study. Such techniques assume that the background offset is stable… Show more

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Cited by 30 publications
(44 citation statements)
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“…However, 4D PC‐MR has not yet reached broad clinical use, which in part may be due to lack of studies validating 4D PC‐MR against independent techniques. Furthermore, reliable validation strategies for 4D flow are vital for development of improved 4D flow sequences, e.g., to improve accuracy and precision, reduce long scan times and minimize phase background errors .…”
Section: Introductionmentioning
confidence: 99%
“…However, 4D PC‐MR has not yet reached broad clinical use, which in part may be due to lack of studies validating 4D PC‐MR against independent techniques. Furthermore, reliable validation strategies for 4D flow are vital for development of improved 4D flow sequences, e.g., to improve accuracy and precision, reduce long scan times and minimize phase background errors .…”
Section: Introductionmentioning
confidence: 99%
“…PC‐MRI relies on the measurement of changes in the signal phase due to flow or motion in the presence of known linear magnetic gradient fields. It is well know that phase offset errors due to gradient field distortions are caused by three major effects: eddy currents , concomitant gradients (Maxwell terms) , and gradient field distortions (non‐ideal gradient coil design) .…”
mentioning
confidence: 99%
“…First, the performance of WRLS+ARTO for the simulation study was superior to that for the in vivo study. This discrepancy can be partially attributed to inherent noise in the stationary phantom reference (0.05%‐0.4% of velocity‐encoding noise SD within vessel contours after time‐averaging), slightly different BPO in the stationary phantom than in vivo due to thermal drift, or potentially nonideal BPO, which cannot be perfectly described by a second‐order polynomial for in vivo data. For simulation, in contrast, the reference was noiseless and the simulated BPO could be perfectly described by a second‐order polynomial.…”
Section: Discussionmentioning
confidence: 99%