Abstract
Background Baseline offset errors on phase-contrast velocity images can be corrected using stationary tissue, for example subtracting fitted corrections from the image (1). Although corrections are often curved over the FOV, 1st order (linear) fitting is typical. This may partly be due to low SNR of static tissue making higher-order fitting unreliable (2). Aim: To evaluate a new method acquiring additional high SNR velocity images specifically to improve offset correction.
Highlights
Baseline offset errors on phase-contrast velocity images can be corrected using stationary tissue, for example subtracting fitted corrections from the image (1)
At best, applying 2nd order fitting to the high SNR image at l = 50% left a residual error of 0.42±0.35cm/s (n=18, mean[of absolute values] ± stdev) compared with identical fitting parameters on the original flow image 0.56±0.64cm/s
2nd order fitting on the high SNR image was marginally more accurate than first order fitting on the conventional flow image
Summary
Baseline offset errors on phase-contrast velocity images can be corrected using stationary tissue, for example subtracting fitted corrections from the image (1). Corrections are often curved over the FOV, 1st order (linear) fitting is typical. This may partly be due to low SNR of static tissue making higher-order fitting unreliable (2). Aim: To evaluate a new method acquiring additional high SNR velocity images to improve offset correction. At best, applying 2nd order fitting to the high SNR image at l = 50% left a residual error of 0.42±0.35cm/s (n=18, mean[of absolute values] ± stdev) compared with identical fitting parameters on the original flow image 0.56±0.64cm/s. Improvements in first-order fitting accuracy were small (l = 25%, high-SNR 0.47±0.33cm/s vs original 0.54±0.44cm/s). 2nd order fitting on the high SNR image was marginally more accurate than first order fitting on the conventional flow image
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