Keywords: System Imperfections, System Imperfections: Measurement & Correction, field camera, field probes, stability, trajectory, simulation, MRzero, Pulseq
Motivation: Analyze the origin of "cloudy ghost" artifacts observed during quality assurance in temporal-fluctuation-noise-images from 10-minute Echo-planar imaging, to understand and improve consistency of fMRI-based neuroimaging.
Goal(s): Determine gradient behavior differences between two 3T MRI systems and link them to the observed “cloudy ghost” artifacts.
Approach: We measured the gradient trajectory of a standard Echo-planar Imaging sequence with a dynamic field camera at two MRI systems and simulated artifacts based on individual components of the measured trajectory.
Results: A simulation routine based on Pulseq and the MRzero framework was developed, that can partially reproduce the observed artifacts from measured zero and first-order trajectory deviations.
Impact: Enhance understanding of gradient related artifact sources in fMRI neuroimaging studies. Our open-source simulation routine allows to partially reproduce artifacts from dynamic zero and first-order trajectory deviations. The improved understanding lays the groundwork for development of more reliable future MRI-systems.
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