Reference-Driven Undersampled MR Image Reconstruction Using Wavelet Sparsity-Constrained Deep Image Prior

Deep learning has shown potential in significantly improving performance for undersampled magnetic resonance (MR) image reconstruction. However, one challenge for the application of deep learning to clinical scenarios is the requirement of large, high-quality patient-based datasets for network train...

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Detalles Bibliográficos
Autores principales: Zhao, Di, Huang, Yanhu, Zhao, Feng, Qin, Binyi, Zheng, Jincun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846397/
https://www.ncbi.nlm.nih.gov/pubmed/33552232
http://dx.doi.org/10.1155/2021/8865582

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846397/
https://www.ncbi.nlm.nih.gov/pubmed/33552232
http://dx.doi.org/10.1155/2021/8865582

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