Imaging during respiratory and cardiac motion remains a major challenge for body and cardiac MR. A number of motion correction approaches have been proposed to address this challenge including use of external gating signals, navigator acquisitions, and motion estimation from the image data itself. However, the accuracy of these motion estimation techniques has not been validated in-vivo. In this work, we use a recently developed MR compatible 4D ultrasound probe combined with feature tracking to evaluate the performance of MR based navigation algorithms in the setting of free-breathing 3D pulmonary imaging.
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