Image-Space Self-Navigation for Respiratory Motion Compensation in 2D Axial Radial Free-Breathing MRE of the Liver

Previous work has proposed self-navigated golden-angle (GA) radial free-breathing (FB) MR elastography (MRE) of the liver. This work employed a standard DC-based motion compensation framework that proved suboptimal. Here we propose an image-space based motion-compensation framework for 2D free-breathing radial MRE. The proposed method is compared to the standard DC-based method by measuring the signal-to-noise (SNR) after self-navigated motion-compensation by each method (8 subjects). The median (interquartile range) SNR across subjects was 4.8 (3.6-5.7) and 6.8 (6.3-7.5) for the standard and proposed methods, respectively. Inclusion of image-space data may allow for more robust motion compensation for 2D radial axial acquisitions.