Deep learning-assisted model-based off-resonance correction for non-Cartesian SWI.

Guillaume Daval-Frérot,Aurélien Massire,Boris Mailhé,Mariappan Nadar,Blanche Bapst,Alain Luciani,Alexandre Vignaud,Philippe Ciuciu

Magnetic resonance in medicine（2023）

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摘要

A combination of model-based and network-based off-resonance correction was proposed to significantly accelerate conventional methods. Different promising synergies were observed between acceleration factors (iterations, coils, correction) and model/network that could be expanded in the future.

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关键词

deep learning, non-Cartesian imaging, off-resonance correction, unrolled neural network, 3D SPARKLING

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