Abstract #3137

Improved Golden-Angle Stack-of-Stars Non-Contrast Enhanced 4D Dynamic MR Angiography using Parallel Imaging and Compressed Sensing

Ziwu Zhou¹, Fei Han¹, Songlin Yu², Dandan Yu², Stanislas Rapacchi¹, Danny J.J. Wang³, Lirong Yan³, and Peng Hu¹

¹Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States, ²Neurology, University of California, Los Angeles, Los Angeles, CA, United States, ³Neurology, University of Southern California, Los Angeles, CA, United States

In this study, we investigated the feasibility of accelerating a recently proposed arterial spin labeling (ASL) based, time-resolved non-contrast enhanced dynamic MR angiography (NCE-dMRA) technique using parallel imaging and compressed sensing. By taking advantage of the inherent and unique “subtraction sparsity” in ASL type acquisition, we combined a recently developed CS technique, which uses a magnitude subtraction to enhance sparsity in MRA data, with the ESPIRiT method for SENSE type PI reconstruction. Proposed method was compared with the previously used KWIC reconstruction to demonstrate its advantage in reducing temporal blurring caused by view-sharing.

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