Abstract #2728

Optimization and Evaluation of Super-Resolution SMS ASL with Slice-Dithered Enhanced Resolution (SLIDER) technique

Qinyang Shou¹, Xingfeng Shao¹, and Danny JJ Wang¹

¹Laboratory of Functional MRI Technology (LOFT), Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States

The goal of this study is to optimize and evaluate super-resolution simultaneous multislice (SMS) Arterial Spin Labeling (ASL) using the Slice Dithered Enhanced Resolution (SLIDER). Different numbers (2/3/4) of shifted slices for SLIDER SMS ASL were evaluated for spatial and temporal SNR. The results showed that the SNR efficiency of SLIDER SMS ASL increased with a greater number of shifted slices which may be attributed to reduced g-factor for SMS imaging of thicker slices as well as the presence of physiological noise.

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