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Abstract #0119

Motion-corrected 3D-EPTI with 4D navigator for fast and robust whole-brain quantitative imaging

Zijing Dong1,2, Fuyixue Wang1,3, Jie Xiang4, and Kawin Setsompop5,6
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, United States, 3Harvard-MIT Health Sciences and Technology, MIT, Cambridge, MA, United States, 4Tsinghua University, Beijing, China, 5Department of Radiology, Stanford University, Stanford, CA, United States, 6Department of Electrical Engineering, Stanford University, Stanford, CA, United States

A motion-correction method is developed for the recently proposed 3D-EPTI to achieve fast and motion-robust quantitative imaging of the human brain. A 4D-navigator (x-y-z-echoes) is inserted into the relaxation-recovery dead-time of the sequence to provide accurate estimations of 3D-motion and B0-inhomogeneity changes at every TR (~2-3s), which are incorporated into a motion-and-phase corrected subspace reconstruction. The navigator utilizes an optimized spatiotemporal encoding to acquire central 3D k-space for accurate motion-estimation using just 4 small-flip-angle excitations, resulting in negligible signal-recovery reduction (<1%) to the 3D-EPTI acquisition. Simulation and in-vivo experiments preliminarily validate the accuracy of estimation and effectiveness of the reconstruction.

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