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.