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Abstract #0671

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

Jiazheng Zhou1,2, Ali Aghaeifer1, Gisela Hagberg1,3, and Klaus Scheffler1,3
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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