Robust single-point UTE Dixon imaging.

Motivation: A recent approach solved the unwanted phase estimation in single point Dixon imaging using an iterative optimization method. Goal(s): The goal of this work is to properly initialize the previously proposed iterative optimization approach for a more robust water-fat separation. Approach: The iterative optimization method is initialized with the result of the polynomial fit of the signal phase and its derived water and fat signals. Results: By initializing the Gauss Newton method with the result of a polynomial fit of the signal phase, better and more robust water fat separation can be achieved in sUTE Dixon imaging. Impact: The proposed polynomial fit initialization has improved water-fat separation quality and its robustness against regularization parameters while reducing the number of optimization iterations.