Abstract #1013

2D Self-Navigation Improves Respiratory Motion Tracking Compared with 1D Self-Navigation in 3D Left Atrial LGE using XD-GRASP Reconstruction

KyungPyo Hong¹, Suvai Gunasekaran¹, Mohammed Elbaz¹, Aggelos K Katsaggelos², Saman Nazarian³, Rod Passman⁴, Eugene Kholmovski⁵, and Daniel Kim¹

¹Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, ²Electrical and Computer Engineering, Northwestern University Feinberg School of Medicine, Evanston, IL, United States, ³Medicine, Cardiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States, ⁴Medicine, Cardiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, ⁵Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States

Synopsis

Keywords: Motion Correction, Arrhythmia, Late Gadolinium EnhancementPreviously described left atrial (LA) late gadolinium enhancement (LGE) using a stack-of-stars k-space sampling pattern with XD-GRASP reconstruction may produce blurry LA wall due to signal variation of inversion-recovery-prepared 1D self-navigation caused by arrhythmia. We hypothesize 2D image self-navigation would be less sensitive to arrhythmia for motion tracking in XD-GRASP framework. In this study, we developed a free-breathing, LA LGE pulse sequence with isotropic spatial resolution using a stack-of-stars sampling pattern and 2D self-navigation and compared its performance against conventional 1D self-navigation in patients with atrial fibrillation. Results show that 2D self-navigation improves respiratory motion tracking compared with 1D.

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