Deep Learning-Based Water-Fat Separation from Dual-Echo Chemical Shift-Encoded Imaging

Conventional water–fat separation approaches suffer long computational times and are prone to water/fat swaps. To solve these problems, we propose a deep learning-based dual-echo water–fat separation method. With IRB approval, raw data from 68 pediatric clinically indicated dual echo scans were anal...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Yan, Alley, Marcus, Li, Zhitao, Datta, Keshav, Wen, Zhifei, Sandino, Christopher, Syed, Ali, Ren, Hongyi, Xing, Lei, Lustig, Michael, Pauly, John, Vasanawala, Shreyas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9598080/
https://www.ncbi.nlm.nih.gov/pubmed/36290546
http://dx.doi.org/10.3390/bioengineering9100579

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9598080/
https://www.ncbi.nlm.nih.gov/pubmed/36290546
http://dx.doi.org/10.3390/bioengineering9100579

Ejemplares similares