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Abstract #0370

Evaluation of Sparse Sampling Approaches for 3D Functional MRI

Michelle Karker1, Claire Lin1, Jeffrey A Fessler1, and Douglas C Noll1

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

This work evaluates the performance of a novel sampling pattern compared to common undersampling techniques with the ultimate goal of obtaining high spatiotemporal resolution 3D fMRI via sparse sampling and model-based reconstruction. We examine a novel 3D Cartesian sampling pattern with random phase encodings in ky-kz rotated by the golden angle, resulting in a variable density sampling of k-space, with dense sampling of the high-signal energy k-space center. The functional activation and noise amplification (g-factor) results of this sampling technique are compared to those of standard sampling regimes.

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