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Abstract #1471

A Geostatistical Approach to Denoise and Interpolate Experimental Complex-Valued B1 Maps

Guillaume Ferrand1, Michel Luong1, Pierre Chauvet2, Martijn Anton Cloos3, Alexis Amadon3

1IRFU/SACM, CEA Centre de Saclay, Gif sur Yvette, France; 2Centre de Gosciences, Mines ParisTech, Fontainebleau, France; 3DSV/I2BM/NeuroSpin/LMRN, CEA Centre de Saclay, Gif sur Yvette, France

The knowledge of the complex-valued B1 map generated by each channel of a phased-array RF coil has become essential for high field MRI systems operating above 7 T, a cornerstone for static or dynamic shimming techniques, whose aim is to provide a uniform excitation over any ROI. The maps must be measured experimentally for each RF coil and each subject under examination using an MRI sequence; the more accurate and space resolved the maps, the higher the shimming quality. Unfortunately, high quality maps are time consuming and usually lead to a stronger SAR exposure for the subject. We propose in this abstract a new method based on geostatistical considerations to post-process noisy and poor space resolved B1 maps.