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Abstract #1508

In Vivo Compressed Sensing fMRI using Conventional Gradient-recalled Echo and EPI Sequences

Xiaopeng Zong 1 , Juyoung Lee 2 , Alexander Poplawsky 3 , Seong-Gi Kim 3,4 , and Jong Chul Ye 2

1 Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 2 Korea Advanced Institute of Science & Technology, Daejon, Korea, 3 University of Pittsburgh, PA, United States, 4 Dept. of Biological Sciences, SKKU, Suwon, Korea

Compressed sensing (CS) may be useful for accelerating data acquisitions in high-resolution fMRI. Most of the existing CS-fMRI studies have been conducted with synthesized experiments where fully sampled k-space data were retrospectively down-sampled. However, it is diļ¬ƒcult to determine pulse sequence-dependent artifacts as well as potential advantages of improved temporal resolutions using retrospective analyses. Here, we systematically investigated the properties of CS-fMRI using computer simulations and in vivo experiments of rat forepaw and odor stimulations with 2-dimensional gradient-recalled echo (GRE) and echo planar imaging sequences. Our results show that CS improves the statistical performance of fMR with negligible image artifacts.

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