Abstract #3663
Thermal Noise Propagation in Water-fat Imaging and Fat Fraction Measurement
Weiyi Chen 1 and Krishna S. Nayak 1
1
Electrical Engineering, University of
Southern California, Los Angeles, CA, United States
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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