An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset

This work aims at developing a generalizable Magnetic Resonance Imaging (MRI) reconstruction method in the meta-learning framework. Specifically, we develop a deep reconstruction network induced by a learnable optimization algorithm (LOA) to solve the nonconvex nonsmooth variational model of MRI ima...

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Detalles Bibliográficos
Autores principales: Bian, Wanyu, Chen, Yunmei, Ye, Xiaojing, Zhang, Qingchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621471/
https://www.ncbi.nlm.nih.gov/pubmed/34821862
http://dx.doi.org/10.3390/jimaging7110231

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621471/
https://www.ncbi.nlm.nih.gov/pubmed/34821862
http://dx.doi.org/10.3390/jimaging7110231

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