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Abstract #5627

Simultaneous multi-parametric and quantitative estimation of 23Na physical properties at 7 Tesla using QuICS

Lisa Leroi1, Arthur Coste1, Ludovic de Rochefort2, Mathieu Santin3, Romain Valabrègue3, Franck Mauconduit4, Marie-France Hang1, Edouard Chazel1, Jérémy Bernard1, Michel Luong5, Eric Giacomini1, Denis Le Bihan1, Cyril Poupon1, Fawzi Boumezbeur1, Cécile Rabrait-Lerman1, and Alexandre Vignaud1

1Neurospin, CEA, Pais-Saclay University, Saclay, France, 2CRMBM, UMR 7339, Aix-Marseille University, Marseille, France, 3Institut Cerveau Moelle - ICM, CENIR, UPMC-Inserm U1127, CNRS 7225, Paris, France, 4Siemens Healthineers, Saint-Denis, France, 5IRFU, CEA, Paris-Saclay University, Saclay, France

Quantifying physical properties of sodium could be of benefit to assess more specifically changes in cellular homeostasis accompanying neuroinflammatory or neurodegenerative diseases. This work aimed at adapting for 23Na MRI at 7 Tesla the Quantitative Imaging using Configuration States (QuICS) method, primarily developped for 1H MRI. We demonstrate the possibility to not only estimate accurately the T1, T2, FA, M0 and ADC simultaneously for 23Na at physiological concentration at UHF, but to acquire 3D maps for all of them.

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