Abstract #1036

Ideal current patterns for optimal SNR in realistic heterogeneous head models

Ioannis P. Georgakis¹, Athanasios G. Polimeridis², and Riccardo Lattanzi^3,4,5

¹Center for Computational and Data-Intensive Science and Engineering (CDISE), Skolkovo Institute of Science and Technology, Moscow, Russian Federation, ²Q Bio, Redwood City, CA, United States, ³Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, United States, ⁴Bernard and Irene Schwartz Center for Biomedical Imaging (CBI), Department of Radiology, New York University School of Medicine, New York, NY, United States, ⁵Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY, United States

We describe a method to calculate, for the first time, ideal current patterns (ICP) associated with optimal signal-to-noise ratio (SNR) in heterogeneous head models for arbitrary current-bearing substrates. We show ICP for different voxel positions in the brain and neck, magnetic field strengths, and realistic head coil substrates. Even though the optimal SNR distribution is similar for different substrates, we show that the ICP depend instead on the topology of the substrate on which they are restricted. ICP can inform non-convex radiofrequency (RF) coil optimization problems by providing an intuitive initial guess and could lead to task-optimal RF arrays designs.

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