Reference-Driven Compressed Sensing MR Image Reconstruction Using Deep Convolutional Neural Networks without Pre-Training

Deep learning has proven itself to be able to reduce the scanning time of Magnetic Resonance Imaging (MRI) and to improve the image reconstruction quality since it was introduced into Compressed Sensing MRI (CS-MRI). However, the requirement of using large, high-quality, and patient-based datasets f...

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Detalles Bibliográficos
Autores principales: Zhao, Di, Zhao, Feng, Gan, Yongjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982784/
https://www.ncbi.nlm.nih.gov/pubmed/31935887
http://dx.doi.org/10.3390/s20010308

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982784/
https://www.ncbi.nlm.nih.gov/pubmed/31935887
http://dx.doi.org/10.3390/s20010308

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