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Abstract #3810

SWIRLS 3D CE-MRA with Field-Corrected Sparse SENSE Reconstruction

Joshua D. Trzasko1, Yunhong Shu1, Armando Manduca1, John Huston III1, Matthew A. Bernstein1

1Mayo Clinic, Rochester, MN, United States

In this work, we describe a sparsity-driven reconstruction framework for single-phase (non-Cartesian) SWIRLS 3D CE-MRA that incorporates both sensitivity encoding and off-resonance correction. As demonstrated, the proposed framework substantially reduces both noise amplification and geometric distortion that are routinely present in, and can compromise the diagnostic utility of, standard gridding reconstruction images.