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Abstract #3097

Distance Weighted B1 Uniformity Correction for Multiple Channel Image Reconstruction

Fred J. Frigo1,2, Brian W. Thomsen1,2, Joshua V. Marso1,2, Jason M. Darby1,2, Stephen A. Verdi1,2, Chad A. Rowland1,2

1GE Healthcare, Waukesha, WI, United States; 2Marquette University, Milwaukee, WI, United States

Conventional multiple channel image reconstruction benefits from increased signal-to-noise ratios however hyper-intensity near coil elements can lead to difficulties in the evaluation of images. We present a novel approach for multiple-channel magnetic resonance image reconstruction with pixel intensity corrections for B1 non-uniformity. Coil sensitivity maps are generated from the actual data acquired during a scan, so this is a self-referencing technique. The coil sensitivity maps for each channel are generated based on the Euclidean distance of pixels from each individual coil image to the coil elements.