Abstract #3553

Gradient input optimization based on the measured system frequency response

Signe Johanna Vannesjo¹, Christian Vogt¹, Lars Kasper^1,2, Maximilian Haeberlin¹, and Klaas P Pruessmann¹

¹Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland, ²Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland

Accurate gradient time-courses are crucial for MRI, yet actual waveforms generally deviate from ideal. We here propose to treat the task of finding the ideal gradient input for a targeted output gradient waveform as a case-by-case optimization problem, based on an LTI model of the gradient system. The method is aimed to achieve optimal gradient waveform fidelity that a given gradient system is capable of producing, considering both bandwidth and amplitude/slew rate limitations. We perform the optimization for an EPI and a spiral sequence and compare the resulting output to using non-optimized input on measured k-space trajectories.

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