Balanced Sparse Model for Tight Frames in Compressed Sensing Magnetic Resonance Imaging

Compressed sensing has shown to be promising to accelerate magnetic resonance imaging. In this new technology, magnetic resonance images are usually reconstructed by enforcing its sparsity in sparse image reconstruction models, including both synthesis and analysis models. The synthesis model assume...

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Detalles Bibliográficos
Autores principales: Liu, Yunsong, Cai, Jian-Feng, Zhan, Zhifang, Guo, Di, Ye, Jing, Chen, Zhong, Qu, Xiaobo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4388626/
https://www.ncbi.nlm.nih.gov/pubmed/25849209
http://dx.doi.org/10.1371/journal.pone.0119584

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4388626/
https://www.ncbi.nlm.nih.gov/pubmed/25849209
http://dx.doi.org/10.1371/journal.pone.0119584

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