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Abstract #3631

Reducing a Localized Signal Fluctuation Artifact in fMRI using Spectral-Spatial Fat Saturation

Dan Xu1, Jian Zhang2, Richard Scott Hinks1, Kevin F. King1

1Applied Science Laboratory, GE Healthcare, Waukesha, WI, United States; 2Applied Science Laboratory, GE Healthcare, Bethesda, MD, United States


Conventional 1D, spatially non-selective fat saturation can generate uncrushed fat signals in areas where crusher is weak because of reduced gradient linearity. These fat signals can corrupt in-plane water signal, and in fMRI, they manifest themselves as artifacts such as clouds in image background or localized signal fluctuation over time. We propose a spectral-spatial fat saturation method to remove these artifacts while preserving thin slice capability, pulse duration, and fat suppression performance.

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