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Abstract #2301

Motion-Corrected Pulmonary Imaging Using Spiral UTE Acquisition and Accelerated GROG-XD-GRASP Reconstruction

Eddy Solomon1, Li Feng2, Benkert Thomas 3, Moritz Schneider 4, Kai Tobias Block1, Daniel K Sodickson1, and Hersh Chandarana1
1Radiology, New York University School of Medicine, New York, NY, United States, 2Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Radiology, University Hospital LMU Munich, Munich, Germany

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‚Äźnavigator 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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