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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