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Abstract #2733

SENSE Induced Correlations Are Used to Optimize RF Coil Design for Specific FcMRI Studies

Iain P. Bruce1, L. Tugan Muftuler2, 3, Daniel B. Rowe1, 2

1Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee, WI, United States; 2Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States; 3Department of Neurosurgery, Medical College of Wisonsin, Milwaukee, WI, United States

In fcMRI, a significant dependence is placed on developing models and processing operations to rid the acquired data of artifacts at the neglected expense of altering the statistical properties of the acquired data. The alleviation of artifacts at a fundamental level, when the data is first acquired, would provide an appreciable advantage for specific fcMRI studies. Optimal RF coil designs can be achieved by minimizing a cost function in which both the g-factor is reduced to lower the amplification of coil related noise in a ROI, and the correlation induced by SENSE reconstruction is minimized to avoid type-I&II errors.