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Abstract #1693

Fast and Accurate Two-Component Relaxometry with EPG Simulations and Dictionary Searching

Pierre-Yves Baudin 1 , Benjamin Marty 2,3 , Ericky C.A. Araujo 2,3 , Noura Azzabou 2,3 , Pierre G. Carlier 2,3 , and Paulo Loureiro de Sousa 4

1 Consultants for Research in Imaging and Spectroscopy, Tournai, Belgium, 2 NMR Laboratory, Institute of Myology, Paris, France, 3 NMR Laboratory, CEA/I2BM/MIRCen, Paris, France, 4 ICube, Universit de Strasbourg, CNRS, Strasbourg, France

T2 mapping from Multi-Slice Multi-Echo data is generally performed using a mono-exponential regression. However, the presence of stimulated echoes in the signal severely limits the performance of this approach and better signal models have been proposed, using the Bloch equations or the Extended-Phase-Graph (EPG) formalism. The case of mixed T2 decays such as water and fat components in fatty infiltrated muscles - has been addressed via a non-negative least-square fitting of an EPG model, at the cost of long processing times. We propose a simpler and faster approach where a 2-component EPG model is explicitly fitted by dictionary searching.

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