Abstract #4275

Real-Time Water-Fat Separation

Markus Florian Untenberger¹, Martin Uecker², Sebastian Schaetz¹, Dirk Voit¹, Jens Frahm³

¹Biomedizinische NMR Forschungs GmbH, Max-Planck Insitut fuer biophysikalische Chemie, Goettingen, Niedersachsen, Germany; ²Dept. of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, United States; ³Biomedizinische NMR Forschungs GmbH, Max Planck Institute, Goettingen, Niedersachsen, Germany

In this abstract the extension of water-fat separation from static images to dynamic, real-time imaging is presented. We used a regularized nonlinear inverse image reconstruction on top of which an adapted iterative decomposition of water and fat with echo asymmetry and least squares estimation (IDEAL) was performed. Results from different anatomical views at different temporal and spatial resolutions are shown. Expected improvements from a model-based reconstruction and the extension to fat quantification are also discussed. The results show the feasibility of water-fat separation in real time.