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Sparse MR Image Reconstruction Considering Rician Noise Models: A CNN Approach

Compressive sensing (CS) provides a potential platform for acquiring slow and sequential data, as in magnetic resonance (MR) imaging. However, CS requires high computational time for reconstructing MR images from sparse k-space data, which restricts its usage for high speed online reconstruction and...

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Detalles Bibliográficos
Autores principales:	Manimala, M. V. R., Dhanunjaya Naidu, C., Giri Prasad, M. N.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer US 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7417787/ https://www.ncbi.nlm.nih.gov/pubmed/32836885 http://dx.doi.org/10.1007/s11277-020-07725-0

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