Cardiac-related noise reduces the sensitivity of relaxometry data to brain microstructure properties such as iron or myelin concentration. To address this effect, we aim to characterize cardiac pulsation effects in in-vivo data. We combined a Cartesian pseudo-spiral sampling trajectory with compressed sensing image reconstruction using a temporal total variation regularization to obtain 3D multi-echo images at 12 points of the cardiac cycle. We show that 76% of the full k-space is required in each cardiac bin to maintain 90% of voxels above a 60% sensitivity to physiological noise in the reconstructed images.
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