A hybrid homodyne algorithm for reconstructing partially acquired two-point Dixon data
Ragan D, Ma J
University of Texas M. D. Anderson Cancer Center
Dixon techniques acquire multiple images at different echo times and use their phase differences to separate water and fat. Although widely used for scan time reduction, homodyne techniques, which assume that the imaged object is real, are generally incompatible with Dixon reconstruction. In this work, we demonstrate that in the special case of a two-point Dixon acquisition, an algorithm for combined homodyne and Dixon reconstruction is feasible. Our experiments show that by using the algorithm, high-resolution fat-suppressed images can be generated from partially acquired k-space data, thus substantially decreasing the total scan time.