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¬cult 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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