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Abstract #3282

Resolving Phase Ambiguity in Two-point Dixon Imaging Using a Projected Power Method

Tao Zhang1,2, Yuxin Chen3, Marcus Alley1, Brian Hargreaves1,2, John Pauly2, and Shreyas Vasanawala1

1Radiology, Stanford University, Stanford, CA, United States, 2Electrical Engineering, Stanford University, Stanford, CA, United States, 3Statistics, Stanford University, Stanford, CA, United States

Dixon techniques offer robust water/fat separation in the presence of static field inhomogeneity. Two-point Dixon imaging with flexible echo times is desirable because of its high scan efficiency and flexibility. A major challenge in two-point Dixon imaging is how to estimate the phase error resulting from field inhomogeneity. In this work, we formulate a binary quadratic optimization and propose a fast projected power method to resolve the phase ambiguity in two-point Dixon imaging.

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