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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