A miniature U-net for k-space-based parallel magnetic resonance imaging reconstruction with a mixed loss function

BACKGROUND: Deep learning-based magnetic resonance imaging (MRI) methods require in most cases a separate dataset with thousands of images for each anatomical site to train the network model. This paper proposes a miniature U-net method for k-space-based parallel MRI where the network model is train...

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Detalles Bibliográficos
Autores principales: Xu, Lin, Xu, Jingwen, Zheng, Qian, Yuan, Jianying, Liu, Jiajia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403593/
https://www.ncbi.nlm.nih.gov/pubmed/36060590
http://dx.doi.org/10.21037/qims-21-1212

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403593/
https://www.ncbi.nlm.nih.gov/pubmed/36060590
http://dx.doi.org/10.21037/qims-21-1212

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