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Abstract #1153

Improving the efficiency of integrated RF-shim arrays using hybrid coil designs and channel placement and compression via a genetic algorithm

Jason P Stockmann1, Bastien Guerin1,2, and Lawrence L Wald1,2

1A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Harvard Medical School, Boston, MA, United States

Integrated RF-shim coils combine RF receive arrays and matrix shim arrays into a single set of close-fitting loops, provide a promising alternative to spherical harmonic shim coils for compensating dynamic high-order B0 offsets in the brain. However, the potentially large design space for optimizing these arrays remains little explored. In this work, we investigate ways to improve the efficiency of RF-shim coils by (a.) creating “hybrid” RF-shim arrays that use additional shim-only loops over the face for targeted shimming of the frontal lobes and (b.) using a genetic algorithm to choose optimal subarrays of coils for shimming, thus reducing hardware complexity.

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