Minimal Linear Networks for Magnetic Resonance Image Reconstruction

Modern sequences for Magnetic Resonance Imaging (MRI) trade off scan time with computational challenges, resulting in ill-posed inverse problems and the requirement to account for more elaborated signal models. Various deep learning techniques have shown potential for image reconstruction from reduc...

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Detalles Bibliográficos
Autores principales: Liberman, Gilad, Poser, Benedikt A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6925115/
https://www.ncbi.nlm.nih.gov/pubmed/31862922
http://dx.doi.org/10.1038/s41598-019-55763-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6925115/
https://www.ncbi.nlm.nih.gov/pubmed/31862922
http://dx.doi.org/10.1038/s41598-019-55763-x

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