Keywords: fMRI Acquisition, fMRI, silent, Looping Star, pulse sequence design, non-cartesian reconstruction
Motivation: Silent Looping Star fMRI offers unique advantages for neuroscience investigation, but image quality is affected by undersampling artifacts.
Goal(s): Here, we describe novel methods for improving the spatiotemporal encoding efficiency of Looping Star and thereby further advance its utility for silent fMRI.
Approach: A new Looping Star encoding scheme which adds extra out-of-plane oscillations and thereby improves overall encoding efficiency is introduced and combined with auto-calibrated cgSENSE parallel imaging reconstruction.
Results: The sharpest, most intensity uniform images and lowest background noise are demonstrated by the combination of both enhancements while maintaining BOLD sensitivity in a simultaneous, combined visual and auditory fMRI task.
Impact: The combination of a new trajectory and auto-calibrated parallel imaging leads to sharper and more uniform silent fMRI images with reduced streaking artifacts as demonstrated visually and on a visual-auditory fMRI task.
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