Synthetic T2-weighted fat sat based on a generative adversarial network shows potential for scan time reduction in spine imaging in a multicenter test dataset

OBJECTIVES: T2-weighted (w) fat sat (fs) sequences, which are important in spine MRI, require a significant amount of scan time. Generative adversarial networks (GANs) can generate synthetic T2-w fs images. We evaluated the potential of synthetic T2-w fs images by comparing them to their true counte...

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Detalles Bibliográficos
Autores principales: Schlaeger, Sarah, Drummer, Katharina, El Husseini, Malek, Kofler, Florian, Sollmann, Nico, Schramm, Severin, Zimmer, Claus, Wiestler, Benedikt, Kirschke, Jan S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326102/
https://www.ncbi.nlm.nih.gov/pubmed/36928566
http://dx.doi.org/10.1007/s00330-023-09512-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326102/
https://www.ncbi.nlm.nih.gov/pubmed/36928566
http://dx.doi.org/10.1007/s00330-023-09512-4

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