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Abstract #4621

Quantum-Inspired RF Pulse Optimization

Sherry Huang1, Darryl C. Jacob2,3, 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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