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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