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Abstract #0049

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

Michael Loecher1,2 and Daniel B Ennis1,2
1Radiology, Stanford University, Stanford, CA, United States, 2Radiology, Veterans Administration Health Care System, Palo Alto, CA, United States

Synopsis

Keywords: Flow, Cardiovascular, Flow, Phase Contrast, GIRF

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.

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Keywords