Frequency and Phase Correction of J-Difference Edited MR Spectra using Deep Learning

PURPOSE: To investigate whether a deep learning-based (DL) approach can be used for frequency-and-phase correction (FPC) of MEGA-edited MRS data. METHODS: Two neural networks (one for frequency, one for phase) consisting of fully connected layers were trained and validated using simulated MEGA-edite...

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Publicado en:Magn Reson Med
Main Authors: Tapper, Sofie, Mikkelsen, Mark, Dewey, Blake E., Zöllner, Helge J., Hui, Steve C. N., Oeltzschner, Georg, Edden, Richard A. E.
Formato: Artigo
Idioma:Inglês
Publicado: 2020
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC8063593/
https://ncbi.nlm.nih.gov/pubmed/33210342
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.28525
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