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Abstract #4775

Removing Background Velocity Errors in PC-MRI with Optimized Spoiler Gradient Waveforms

Michael Loecher1,2,3 and Daniel B Ennis1,2,3
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Division of Radiology, Veterans Administration Health Care System, Palo Alto, CA, United States, 3Cardiovascular Institute, Stanford University, Stanford, CA, United States

Synopsis

Keywords: Flow, Cardiovascular

Motivation: Background velocity errors caused by eddy currents and mechanical oscillations in PC-MRI are a significant source of measurement error for which prospective corrections remain unavailable.

Goal(s): To prospectively design spoiler gradient waveforms that reduce background velocity errors to levels generally considered irrelevant.

Approach: A gradient optimization toolbox (GrOpt) was used in conjunction with a gradient impulse response to design error-minimizing waveforms. They were tested in a phantom and in 10 volunteers.

Results: Background velocity errors were reduced by 84±10.4% with the gradient spoiler optimization and to levels below a clinically relevant threshold (0.4% Venc) in 96% of subjects.

Impact: We used a gradient optimization (GrOpt) toolbox and the gradient impulse response function to prospectively design spoiler gradient waveforms that reduce background velocity errors in PC-MRI to levels below a clinically relevant threshold in 96% of subjects.

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