Local sparsity enhanced compressed sensing magnetic resonance imaging in uniform discrete curvelet domain

BACKGROUND: Compressed sensing(CS) has been well applied to speed up imaging by exploring image sparsity over predefined basis functions or learnt dictionary. Firstly, the sparse representation is generally obtained in a single transform domain by using wavelet-like methods, which cannot produce opt...

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Detalles Bibliográficos
Autores principales: Yang, Bingxin, Yuan, Min, Ma, Yide, Zhang, Jiuwen, Zhan, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4528851/
https://www.ncbi.nlm.nih.gov/pubmed/26253135
http://dx.doi.org/10.1186/s12880-015-0065-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4528851/
https://www.ncbi.nlm.nih.gov/pubmed/26253135
http://dx.doi.org/10.1186/s12880-015-0065-0

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