Abstract #0671

B0 field estimation using Ultrashort echo time/Dixon imaging with a 4-class tissue segmentation

Jiazheng Zhou^1,2, Ali Aghaeifer¹, Gisela Hagberg^1,3, and Klaus Scheffler^1,3

¹High-Field Magnetic Resonance, Max Planck Institute of Biological Cybernetics, Tübingen, Germany, ²Graduate Training Centre of Neuroscience, IMPRS, University of Tübingen, Tübingen, Germany, ³Biomedical Magnetic Resonance, University Hospital Tübingen (UKT), Tübingen, Germany

We use a UTE sequence combining with Dixon method to obtain the subject specific susceptibility distribution, with 4-class tissue segmentation. The susceptibility model was then used to simulate motion-induced B₀ change for two head positions. A good agreement between the simulated and measured field map has been observe. A forward field map predicting strategy was explored using the susceptibility model.

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