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Abstract #4872

Breath-Held Highly-Accelerated 2D Fourier-Velocity Encoded MRI Using Compressed Sensing

Luca Marinelli1, Kedar Khare1, Kevin F. King2, Christopher J. Hardy1

1GE Global Research Center, Niskayuna, NY, United States; 2GE Healthcare, Waukesha, WI, United States

We optimized a pulse sequence for accelerated 2D Fourier-velocity-encoded (FVE) MRI to measure blood-velocity in disturbed flows using compressed sensing and developed a fast and accurate reconstruction algorithm. 2D Fourier-velocity-encoded M-mode MRI provides a non-invasive probe of 2D velocity distributions that cannot be measured by other modalities such as Doppler ultrasound but can be exceedingly time consuming. Unlike conventional imaging, parallel imaging cannot be utilized to reduce number of velocity encoding steps. Scan time was reduced enough to fit the acquisition in a single breath-hold, achieving a 20x overall scan-time reduction relative to the fully sampled acquisition.