A Hybrid Residual Attention Convolutional Neural Network for Compressed Sensing Magnetic Resonance Image Reconstruction

We propose a dual-domain deep learning technique for accelerating compressed sensing magnetic resonance image reconstruction. An advanced convolutional neural network with residual connectivity and an attention mechanism was developed for frequency and image domains. First, the sensor domain subnetw...

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Detalles Bibliográficos
Autores principales: Hossain, Md. Biddut, Kwon, Ki-Chul, Shinde, Rupali Kiran, Imtiaz, Shariar Md, Kim, Nam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093476/
https://www.ncbi.nlm.nih.gov/pubmed/37046524
http://dx.doi.org/10.3390/diagnostics13071306

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093476/
https://www.ncbi.nlm.nih.gov/pubmed/37046524
http://dx.doi.org/10.3390/diagnostics13071306

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