Artificial Neural Networks for Magnetic Resonance Elastography Stiffness Estimation in Inhomogeneous Materials

PURPOSE: To test the hypothesis that removing the assumption of material homogeneity will improve the spatial accuracy of stiffness estimates made by Magnetic Resonance Elastography (MRE). METHODS: An artificial neural network was trained using synthetic wave data computed using a coupled harmonic o...

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Detalhes bibliográficos
Publicado no:Med Image Anal
Main Authors: Scott, Jonathan M., Arani, Arvin, Manduca, Armando, McGee, Kiaran P., Trzasko, Joshua D., Huston, John, Ehman, Richard L., Murphy, Matthew C.
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7583310/
https://ncbi.nlm.nih.gov/pubmed/32442867
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2020.101710
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