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Abstract #0084

Fast non-Cartesian L 1 -SPIRiT with Field Inhomogeneity Correction

Daniel S. Weller 1 and Jeffrey A. Fessler 1

1 EECS, University of Michigan, Ann Arbor, MI, United States

Fast, undersampled single-shot k-space trajectories have applications in functional and dynamic imaging, but their long readouts cause artifacts in the presence of field inhomogeneity. We propose an extension of a recently developed algorithm for fast L 1 -SPIRiT reconstruction of undersampled non-Cartesian parallel imaging data, using a system matrix augmented with time-segmentation and a circulant preconditioner to yield high quality images quickly. We compare our method to the existing fast non-Cartesian L 1 -SPIRiT using both simulated brain and real phantom data sets, where our proposed method effectively eliminates artifacts from field inhomogeneity.

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