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Abstract #0444

Fast 4D model based eddy current characterization for shim pre-emphasis calibrations

Michael Schwerter1, Markus Zimmermann1, and N. Jon Shah1,2,3,4

1Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany, 2Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, Jülich, Germany, 3JARA - BRAIN - Translational Medicine, Aachen, Germany, 4Department of Neurology, RWTH Aachen University, Aachen, Germany

Eddy current characterizations are needed for pre-emphasis implementations in dynamic shimming applications. However, since a high spatio-temporal sampling of the eddy current fields is required, this a challenging task. Image-based approaches are well-suited for this purpose, but require substantial acquisition times.

This work presents a 2D image-based sampling scheme, which is fast compared to existing 3D techniques and still provides sufficient information for an unambiguous pre-emphasis parameter reconstruction. Moreover, a model-based fit is proposed, which jointly applies the spatial and temporal eddy current model to the acquired data. It is shown, that this approach is well-suited for reducing fitting noise.

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