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Abstract #3634

Increased SNR & Activation in Hadamard-Encoded fMRI Through Physiological Noise Removal & Phase Correction

Alan Chu1,2, Jon-Fredrik Nielsen1, Scott J. Peltier1, Douglas C. Noll1

1Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States; 2University of Michigan Medical School, Ann Arbor, MI, United States

Hadamard-encoded fMRI is a multislice acquisition method that increases SNR. Because the method uses temporal filtering on complex data for subslice extraction, the method is more susceptible to physiological noise and phase fluctuations when compared with conventional fMRI, where only the magnitude is typically used for determination of voxel activation. In this work, we introduce both physiological noise removal and phase correction for Hadamard-encoded fMRI, and compare the resulting functional activation with that of a conventional fMRI scan.