Despite recent advances in imaging techniques, respiratory motion remains a major challenge in lung MRI. This work explores ultrashort echo time (UTE) technique based on a stack-of-spirals trajectory for lung MRI. To achieve motion-resolved and high-resolution pulmonary MRI during free breathing, spiral arms were grouped into different respiratory states based on self‐navigator signals. These data were reconstructed with an eXtra-Dimensional (XD) compressed-sensing algorithm that use self-calibrating GRAPPA operator gridding (GROG). The proposed reconstruction pipeline enabled motion-compensated imaging revealing fine details of pulmonary parenchymal anatomy.
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