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Abstract #1045

SigPy.RF: Comprehensive Open-Source RF Pulse Design Tools for Reproducible Research

Jonathan B Martin1, Frank Ong2, Jun Ma1, Jonathan I Tamir3,4, Michael Lustig3, and William A Grissom1
1Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Electrical Engineering, Stanford University, Stanford, CA, United States, 3Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 4Electrical and Computer Engineering, UT Austin, Austin, TX, United States

We present SigPy.RF, an extensive set of open-source, Python-ba­­sed tools for MRI RF pulse design. This toolbox extends the SigPy Python software package and leverages SigPy’s existing capabilities for GPU computation, iterative optimization, and powerful abstractions for linear operators, proximal operators, and applications. Tools are available for all steps of the excitation design process including trajectory/gradient design, pulse design, and simulation. Our implemented functions for pulse design include advanced SLR, multiband, adiabatic, optimal control, B$$$_1^+$$$-selective and small-tip pTx designers. SigPy.RF pulse designs were validated in simulations and a pTx experiment.

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