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Abstract #2399

Optimization of a 3-channel gradient waveform for FRONSAC encoding

E. H. Bhuiyan1, Nadine L. Dispenza1, R. Todd Constable1, and Gigi Galiana1

1Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States

This work reports the performance of various gradient waveforms for Fast Rotary Nonlinear Spatial Acquisition (FRONSAC) encoding, varying the amplitude, frequency and phase of the oscillation on different channels. Waveforms using three NLG channels were used to image an American College of Radiology (ACR) phantom, and root-mean-square error (RMSE) relative to a fully sampled reference was used to evaluate performance. Experimentally observed trends support those reported in previous work, which was based on theory and simulations. For the given hardware, the results suggest that the best combination for C3, S3 and Z2 are 64, 64 and 32 cycles per readout and 1.74×106mTm-3, 1.74×106mTm-3 and 3.05×106mTm-2 respectively.

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