PIC-GAN: A Parallel Imaging Coupled Generative Adversarial Network for Accelerated Multi-Channel MRI Reconstruction

In this study, we proposed a model combing parallel imaging (PI) with generative adversarial network (GAN) architecture (PIC-GAN) for accelerated multi-channel magnetic resonance imaging (MRI) reconstruction. This model integrated data fidelity and regularization terms into the generator to benefit...

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Detalles Bibliográficos
Autores principales: Lv, Jun, Wang, Chengyan, Yang, Guang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824530/
https://www.ncbi.nlm.nih.gov/pubmed/33401777
http://dx.doi.org/10.3390/diagnostics11010061

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824530/
https://www.ncbi.nlm.nih.gov/pubmed/33401777
http://dx.doi.org/10.3390/diagnostics11010061

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