Ryan Fobel1, Greg J. Stanisz1
1Sunnybrook Research Institute, Toronto, ON, Canada
Homodyne detection is a reconstruction method commonly used to reduce the number of high-frequency phase encodes for faster imaging or to correct for off-centered, partial echoes for shorter effective TEs. It also has useful properties for low-SNR imaging and negative polarity signals (e.g. Inversion recovery). When multichannel data sets are combined with the root-sum-of-squares technique, many of its benefits are negated because all of the phase information is lost. This study derives a simple modification to the root-sum-of-squares method that preserves phase information. A significant reduction to the noise floor and magnitude bias is demonstrated.