Abstract #4621

Quantum-Inspired RF Pulse Optimization

Sherry Huang¹, Darryl C. Jacob^2,3, Michael Beverland³, Stephen Jordan³, Helmut G. Katzgraber³, Matthias Troyer³, Rasim Boyacioglu⁴, Yun Jiang⁴, Dan Ma⁴, Mark A. Griswold⁴, Julie Love³, and Debra F. McGivney⁴

¹Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, ²Physics and Astronomy, Texas A&M University, College Station, TX, United States, ³Microsoft, Redmond, WA, United States, ⁴Radiology, Case Western Reserve University, Cleveland, OH, United States

RF pulse design is crucial in creating the desired magnetization profile which is the basis of Magnetic Resonance Imaging. There are various methods to generate the RF pulse and gradient waveforms based on Fourier relationships, filter design, or optimizations. These methods rely on assumptions and approximations due to computational power constraints. Here we present preliminary results of using quantum inspired algorithms for Bloch simulation and RF pulse design optimization.

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