Separation of water and fat signal in whole‐body gradient echo scans using convolutional neural networks

PURPOSE: To perform and evaluate water–fat signal separation of whole‐body gradient echo scans using convolutional neural networks. METHODS: Whole‐body gradient echo scans of 240 subjects, each consisting of 5 bipolar echoes, were used. Reference fat fraction maps were created using a conventional m...

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Detalles Bibliográficos
Autores principales: Andersson, Jonathan, Ahlström, Håkan, Kullberg, Joel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Full Paper—Computer Processing and Modeling
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6618066/
https://www.ncbi.nlm.nih.gov/pubmed/31033022
http://dx.doi.org/10.1002/mrm.27786

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6618066/
https://www.ncbi.nlm.nih.gov/pubmed/31033022
http://dx.doi.org/10.1002/mrm.27786

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