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 Guerin^1,2, and Lawrence L Wald^1,2

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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