Machine Learning for the Design and the Simulation of Radiofrequency Magnetic Resonance Coils: Literature Review, Challenges, and Perspectives

Machine Learning for the Design and the Simulation of Radiofrequency Magnetic Resonance Coils: Literature Review, Challenges, and Perspectives

Radiofrequency (RF) coils for magnetic resonance imaging (MRI) applications serve to generate RF fields to excite the nuclei in the sample (transmit coil) and to pick up the RF signals emitted by the nuclei (receive coil). For the purpose of optimizing the image quality, the performance of RF coils...

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Bibliographic Details
Main Authors: Giulio Giovannetti, Nunzia Fontana, Alessandra Flori, Maria Filomena Santarelli, Mauro Tucci, Vincenzo Positano, Sami Barmada, Francesca Frijia
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
magnetic resonance imaging
machine learning
RF coils
genetic algorithm
Online Access:https://www.mdpi.com/1424-8220/24/6/1954

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https://www.mdpi.com/1424-8220/24/6/1954

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