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Abstract #1259

Pushing the Boundaries of Low-Venc PC-MRI Acquisition Strategies with a Weighted, Regularized Optimization Reconstruction

Michael Loecher1 and Daniel B. Ennis1

1Department of Radiological Sciences, University of California, Los Angeles, CA, United States

We propose a novel reconstruction method for low-Venc (high-moment) PC-MRI reconstructions to allow for significant VNR gains while being more robust to the errors associated with these methods. The reconstruction accounts for unequal signal variances due to intravoxel dephasing, and includes constraints to account for residual phase wrapping errors. The method is tested in simulations, phantoms, and volunteers.

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