Fast high-resolution Electric Properties Mapping using three-dimensional MR Fingerprinting based water fraction estimation (MRF-EPT)
Matteo Cencini1,2, Marta Lancione1,2, Laura Biagi1,2, Rossella Pasquariello1, Luca Peretti2,3, Carolin M. Pirkl4, Rolf F. Schulte4, Guido Buonincontri1, Alessandro Arduino5, Luca Zilberti5, and Michela Tosetti1,2
1IRCCS Stella Maris, Pisa, Italy, 2Imago7 Foundation, Pisa, Italy, 3Università di Pisa, Pisa, Italy, 4GE Healthcare, Munich, Germany, 5Istituto Nazionale di Ricerca Metrologica (INRiM), Torino, Italy
MR-EPT aims to non-invasively assess the electrical properties (EP) of the tissues. However, conventional methods based on second-order derivatives of the transmit field are hampered by high noise amplification and boundary errors. Here, we propose to rely on the correlation between electrical properties and water content, which in turn is correlated to tissue T1, in order to extract EP maps from MR Fingerprinting based T1 estimation. We demonstrate whole-brain high-resolution EP mapping of healthy human volunteers and consistent results with both theoretical predictions and standard MR-EPT estimations.
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