Multi-scale graph cut algorithm for water/fat separation

Several water/fat separation techniques use graph cuts to resolve the B0 field map prior to water and fat component estimation in each voxel separately. These algorithms have demonstrated robustness to severe field inhomogeneity, but the tolerance to noise has not been well examined. A graph cut based algorithm was modified to operate at multiple resolution levels in order to resolve the field map in a coarse-to-fine manner. The algorithm was evaluated on benchmark datasets with added noise to synthesize a range of SNR levels. The multi-scale approach was demonstrated to increase the tolerance to noise in the input data.

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