Abstract #5439

Spiral fMRI using the Gradient Impulse Response Function for Trajectory Prediction

Nadine N Graedel^1,2, Lars Kasper², Maria Engel², Jennifer Nussbaum², Bertram J Wilm^2,3, 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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