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Abstract #2941

Ultra-High Spatio-Temporal Resolution Liver Imaging using a New View Ordering Scheme & a 2-Point Dixon Acquisition

Manojkumar Saranathan1, Dan Rettmann2, Anja S. Brau3, Brian A. Hargreaves1, Shreyas Vasanawala1

1Radiology, Stanford University, Stanford, CA, United States; 2Global Applied Science Laboratory, GE Healthcare, Rochester, MN, United States; 3Global Applied Science Laboratory, GE Healthcare, Menlo Park, CA, United States

Both Dynamic contrast enhanced MRI (DCEMRI) and MR angiography (MRA) are challenged by the conflicting requirements of spatial and temporal resolution. Various methods have been proposed for high spatio-temporal resolution MR imaging, involving combinations of partial Fourier imaging, under-sampling, view sharing and parallel imaging to effect high spatio-temporal acceleration. We propose DISCO (DIfferential Subsampling with Cartesian Ordering), a pseudo-random k-space segmentation scheme that minimizes sensitivity to eddy currents and motion for dynamic imaging while dispersing artifacts and residual ghosting and demonstrate its use in first pass contrast enhanced liver imaging using a 32 channel torso-phase array coil with high acceleration factors.