Abstract #0119

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

Zijing Dong^1,2, Fuyixue Wang^1,3, Jie Xiang⁴, and Kawin Setsompop^5,6

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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here