Undersampled MR Image Reconstruction with Data-Driven Tight Frame

Undersampled magnetic resonance image reconstruction employing sparsity regularization has fascinated many researchers in recent years under the support of compressed sensing theory. Nevertheless, most existing sparsity-regularized reconstruction methods either lack adaptability to capture the struc...

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Detalles Bibliográficos
Autores principales: Liu, Jianbo, Wang, Shanshan, Peng, Xi, Liang, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4495234/
https://www.ncbi.nlm.nih.gov/pubmed/26199641
http://dx.doi.org/10.1155/2015/424087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4495234/
https://www.ncbi.nlm.nih.gov/pubmed/26199641
http://dx.doi.org/10.1155/2015/424087

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