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Abstract #3051

Methodology for Robust Motion Correction of Complex-Valued MRI Time Series

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.