Abstract #4274

Water-Fat Separation Using Time Series Correlation

Markus Florian Untenberger¹, Martin Uecker², 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

A novel chemical species separation method is presented. We repetitively switch a saturation pulse and acquire multiple images afterwards to get a global behavior, a paradigm, of the data. The correlation and significance of each pixel with the paradigm is calculated and used for visualization of the saturated species. The results are compared with conventional iterative decomposition of water and fat with echo asymmetry and least squares estimation (IDEAL), giving good agreement.