A review on deep learning MRI reconstruction without fully sampled k-space

BACKGROUND: Magnetic resonance imaging (MRI) is an effective auxiliary diagnostic method in clinical medicine, but it has always suffered from the problem of long acquisition time. Compressed sensing and parallel imaging are two common techniques to accelerate MRI reconstruction. Recently, deep lear...

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Detalles Bibliográficos
Autores principales: Zeng, Gushan, Guo, Yi, Zhan, Jiaying, Wang, Zi, Lai, Zongying, Du, Xiaofeng, Qu, Xiaobo, Guo, Di
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710001/
https://www.ncbi.nlm.nih.gov/pubmed/34952572
http://dx.doi.org/10.1186/s12880-021-00727-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710001/
https://www.ncbi.nlm.nih.gov/pubmed/34952572
http://dx.doi.org/10.1186/s12880-021-00727-9

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