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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