SmartPulse, a Machine Learning Approach for Calibration-Free Dynamic RF Shimming: Preliminary Study in a Clinical Environment

Raphael Tomi-Tricot 1 Vincent Gras 1 Bertrand Thirion 2 Franck Mauconduit 3 Nicolas Boulant 1 Hamza Cherkaoui 2 Pierre Zerbib 4 Alexandre Vignaud 1 Alain Luciani 4, 5, 6 Alexis Amadon 1
1 NEUROSPIN - Service NEUROSPIN
2 PARIETAL - Modelling brain structure, function and variability based on high-field MRI data
Inria Saclay - Ile de France, NEUROSPIN - Service NEUROSPIN
3 Siemens Healthcare [France]
4 CHU Henri Mondor
5 UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12
6 Inserm U955 - Molecular virology and immunology – Physiopathology and therapeutic of chronic viral hepatitis (Team 18)
IMRB - Institut Mondor de Recherche Biomédicale
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Submitted on : Monday, May 27, 2019 - 5:34:45 PM
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Raphael Tomi-Tricot, Vincent Gras, Bertrand Thirion, Franck Mauconduit, Nicolas Boulant, et al.. SmartPulse, a Machine Learning Approach for Calibration-Free Dynamic RF Shimming: Preliminary Study in a Clinical Environment. Magnetic Resonance in Medicine, Wiley, 2019, Magn Reson Med., 82, pp.2016-2031. ⟨10.1002/mrm.27870⟩. ⟨cea-02141266⟩

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