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Abstract #3792

Compensating for Metabolite Dynamics in 13C Chemical Shift Separation

Elena Nasonova 1 , Markus Durst 2,3 , Concetta Gringeri 3 , Eliane V. Farrell 4 , Michael Friebe 1 , Axel Haase 2 , Markus Schwaiger 4 , and Rolf F. Schulte 3

1 Chair of Computer Aided Medical Procedures, TU Mnchen, Munich, Germany, 2 Zentralinstitut fr Medizintechnik (IMETUM), Munich, Germany, 3 GE Global Research, Munich, Germany, 4 Department for Nuclear Medicine, TU Mnchen, Munich, Germany

Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) is a fast and efficient method for separation of 13C species. However, the underlying least squares chemical shift imaging (LSCSI) technique makes use of assumption of constant signal contributions from metabolites within several acquisitions and, therefore, is not consistent with the fast-changing metabolic signal. We attempted to compensate this non-valid assumption in our method. It uses time-dependent correcting factors, obtained from the computed metabolic time courses and inserted into a spectral encoding matrix. Resulting images are then obtained by conventional inversion of this modified matrix and gridding reconstruction.

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