A novel application of Magnetic Resonance Fingerprinting (MRF) on low-field NMR is presented. To successfully implement MRF, the correlation between the static and the radio-frequency fields has to be measured, because the evolution of the signal cannot be analyzed without accounting for magnetic fields inhomogeneities. Experimental results have been validated by simulations and compared using the RMSE. This preparatory evaluation allows the use of MRF for NMR parameters quantification. Then, an artificial intelligence approach for parameters reconstruction has been used to overcome the limitation of the standard dictionary approaches when several parameters have to be estimated.

Giovanni Vito Spinelli, L.B. (2022). Preliminary development of a Magnetic Resonance Fingerprinting framework for fast multiparametric low-field NMR relaxometry.

Preliminary development of a Magnetic Resonance Fingerprinting framework for fast multiparametric low-field NMR relaxometry

Giovanni Vito Spinelli
;
Leonardo Brizi;Marco Barbieri;Fabiana Zama;Germana Landi;Villiam Bortolotti;Daniel Remondini;Claudia Testa
2022

Abstract

A novel application of Magnetic Resonance Fingerprinting (MRF) on low-field NMR is presented. To successfully implement MRF, the correlation between the static and the radio-frequency fields has to be measured, because the evolution of the signal cannot be analyzed without accounting for magnetic fields inhomogeneities. Experimental results have been validated by simulations and compared using the RMSE. This preparatory evaluation allows the use of MRF for NMR parameters quantification. Then, an artificial intelligence approach for parameters reconstruction has been used to overcome the limitation of the standard dictionary approaches when several parameters have to be estimated.
2022
Joint Annual Meeting ISMRM-ESMRMB 2022 and ISMRT 31st Annual Meeting
Giovanni Vito Spinelli, L.B. (2022). Preliminary development of a Magnetic Resonance Fingerprinting framework for fast multiparametric low-field NMR relaxometry.
Giovanni Vito Spinelli, Leonardo Brizi, Marco Barbieri, Fabiana Zama, Germana Landi, Villiam Bortolotti, Daniel Remondini, Claudia Testa
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/902731
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