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Abstract #0931

Model-based rapid field map prediction for dynamic shimming applications

Yuhang Shi1, Johanna Vannesjo1, Karla L. Miller1, and Stuart Clare1

1Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom

This work presents a rapid field map prediction method based on the individual subject's quick localizer scan and a large brain field map database to accelerate the field map acquisition stage for dynamic shimming applications. Our model-based method is able to better identify the steep change in the field associated with some slices in the lower part of the brain, however a low-resolution field map performs better for the rest of the brain.

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