Low-dose CT reconstruction via L1 dictionary learning regularization using iteratively reweighted least-squares

BACKGROUND: In order to reduce the radiation dose of CT (computed tomography), compressed sensing theory has been a hot topic since it provides the possibility of a high quality recovery from the sparse sampling data. Recently, the algorithm based on DL (dictionary learning) was developed to deal wi...

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Bibliografske podrobnosti
izdano v:Biomed Eng Online
Main Authors: Zhang, Cheng, Zhang, Tao, Li, Ming, Peng, Chengtao, Liu, Zhaobang, Zheng, Jian
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2016
Teme:
Research
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC4912768/
https://ncbi.nlm.nih.gov/pubmed/27316680
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12938-016-0193-y
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