Andrew Hahn1, Daniel Rowe2
1Biophysics, Medical College of Wisconsin,
Milwaukee, WI, United States; 2Mathematics, Statistics, and
Computer Science, Marquette University, Milwaukee, WI
In
functional MRI, subject motion during the acquisition of an image series can
confound results and is generally corrected for using a variety of
methods. Because statistical models
for performing complex-valued fMRI analysis are available which can provide
some benefits beyond the standard magnitude-only technique, investigation of
a signal resulting from direct neuronal current involves complex-valued
analysis, and recent reports have indicated potentially valuable functionally
related phase signal, performing motion correction on complex-valued time
series is of interest. This work
identifies the problems facing motion correction of complex-valued images and
proposes a solution for properly applying the correction.