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Abstract #5439

Spiral fMRI using the Gradient Impulse Response Function for Trajectory Prediction

Nadine N Graedel1,2, Lars Kasper2, Maria Engel2, Jennifer Nussbaum2, Bertram J Wilm2,3, Klaas P Pruessmann2, and S Johanna Vannesjo1

1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, Univeristy of Oxford, Oxford, United Kingdom, 2Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland, 3Skope Magnetic Resonance Technologies AG, Zurich, Switzerland

Image artifacts resulting from gradient imperfections remain a challenge in spiral functional MRI. In this work we reconstructed spiral fMRI data using trajectories predicted by the gradient impulse response function (GIRF). The GIRF-reconstruction generates image quality and fMRI results similar to using a fully monitored trajectory. The presented approach requires only a one-time calibration per system, thus the fMRI acquisition is not prolonged or complicated by the acquisition of additional data for correction purposes.

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