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

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

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.