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Abstract #4579

Recovering Fine-Scale Features in Spiral Imaging with Piecewise Linear Off Resonance Correction (PLORC)

Travis Benjamin Smith1, Krishna S. Nayak1

1Electrical Engineering, University of Southern California, Los Angeles, CA, United States

Spiral trajectories are often used to create fine-resolution images with time-efficient acquisitions. The long readout durations necessary to achieve this efficiency makes spiral imaging susceptible to blurring artifacts from off resonance. Point spread function blurring limits the effective resolution achieved in the images and negates some of the benefit of spiral acquisitions. We present a piecewise linear off resonance correction (PLORC) method for accurately deblurring spiral images. The proposed algorithm is computationally similar to standard frequency-segmented methods but is capable of recovering finer image details.