Prediction and Retrospective Correction of 2D PC-MRI Background Phase Errors Using the Gradient Impulse Response Function

Motivation: Background phase errors caused by eddy currents and mechanical oscillations in PC-MRI are a significant source of measurement error that require a reliable correction method. Goal(s): To demonstrate the effectiveness of gradient impulse response function (GIRF) predictions for the retrospective correction of background phase errors in 2D-PCMRI. Approach: The gradient waveforms used to acquire 2D-PCMRI were convolved with GIRFs to predict background phase responses and correct the datasets. The correction is tested in static phantoms and volunteers (n=10). Results: Background phase errors were reduced by 75.7% in static phantom experiments and by 65.2% in the volunteer data. Impact: We tested a gradient impulse response function (GIRF) based prediction method to correct background phase errors in 2D PC-MRI data. Background phase errors were reduced by 75.7% in static phantom experiments and 65.2% in the volunteer data.