Thermal Noise Propagation in Water-fat Imaging and Fat Fraction Measurement

We propose a fast and efficient method to determine the effects of thermal noise in water-fat separation. Field map is estimated using graph-cut algorithm prior to the least square separation. We measured coil covariance matrix with a no-RF acquisition, then derived pixel-wise standard deviation maps for separated water and fat image by concatenating the corresponding linear operators. Finally we use Taylor approximation method to assess the variability of quantitative fat fraction measurement in ROIs. The proposed method is validated against the pseudo-replica technique, and is 300 times faster.

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