Reconstruction of shoulder MRI using deep learning and compressed sensing: a validation study on healthy volunteers

BACKGROUND: To investigate the potential of combining compressed sensing (CS) and deep learning (DL) for accelerated two-dimensional (2D) and three-dimensional (3D) magnetic resonance imaging (MRI) of the shoulder. METHODS: Twenty healthy volunteers were examined using at 3-T scanner with a fat-satu...

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Detalles Bibliográficos
Autores principales: Dratsch, Thomas, Siedek, Florian, Zäske, Charlotte, Sonnabend, Kristina, Rauen, Philip, Terzis, Robert, Hahnfeldt, Robert, Maintz, David, Persigehl, Thorsten, Bratke, Grischa, Iuga, Andra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600091/
https://www.ncbi.nlm.nih.gov/pubmed/37880546
http://dx.doi.org/10.1186/s41747-023-00377-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600091/
https://www.ncbi.nlm.nih.gov/pubmed/37880546
http://dx.doi.org/10.1186/s41747-023-00377-2

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