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Abstract #2827

Accelerated 2D Fourier-Velocity Encoded MRI Using Compressed Sensing

Luca Marinelli1, Kedar Khare1, Kevin F. King2, Robert Darrow1, Christopher J. Hardy1

1Global Research Center, General Electric, Niskayuna, NY, USA; 2GE Healthcare, Waukesha, WI, USA

We develop a new pulse sequence for accelerated 2D Fourier-velocity-encoded (FVE) MRI to measure blood-velocity in disturbed flows. 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. We apply compressed sensing to this newly developed pulse sequence to increase velocity resolution without a scan time penalty and show that an accurate reconstruction with reduction factors up to 5 is possible.