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Abstract #3317

A Fully Automatic Pipeline to Optimize Radio-Frequency Coil Design Using the Ultimate Intrinsic Signal-to-Noise Ratio as the Benchmark

José E. Cruz Serrallés1, Ilias I. Giannakopoulos1, Siqi Wang2, Damien Chen2, Xin Zhao2, Daniel Zint2, Daniele Panozzo2, Denis Zorin2, and Riccardo Lattanzi1,3
1Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Courant Institute of Mathematical Sciences, New York University, New York, NY, United States, 3Center for Advanced Imaging Innovation and Research (CAI2R), New York University Grossman School of Medicine, New York, NY, United States

Synopsis

Keywords: RF Arrays & Systems, RF Arrays & Systems

Motivation: Despite the crucial importance of radio-frequency coils, the practical coil design process has remained a largely empirical one.

Goal(s): To introduce a fully automatic procedure to optimize coil design using the ultimate intrinsic signal-to-noise ratio (UISNR) as the reference.

Approach: We developed an intuitive user interface to parameterize and mesh coils, and implemented automatic tune-match-decoupling. We used MARIE to calculate coil SNR and the UISNR inside a head model. We optimized the size and position of loop coils with the goal of maximizing SNR/UISNR at target locations.

Results: The optimization converged to coil configurations resembling the ideal current patterns.

Impact: Optimizing the design of receive coil arrays can improve image quality and parallel imaging performance. This work demonstrates the first fully automatic approach to design receive coils that can approach the ultimate intrinsic signal-to-noise ratio.

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