A CT Reconstruction Algorithm Based on L(1/2) Regularization

Computed tomography (CT) reconstruction with low radiation dose is a significant research point in current medical CT field. Compressed sensing has shown great potential reconstruct high-quality CT images from few-view or sparse-view data. In this paper, we use the sparser L(1/2) regularization oper...

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Detalles Bibliográficos
Autores principales: Chen, Mianyi, Mi, Deling, He, Peng, Deng, Luzhen, Wei, Biao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4009238/
https://www.ncbi.nlm.nih.gov/pubmed/24834109
http://dx.doi.org/10.1155/2014/862910

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4009238/
https://www.ncbi.nlm.nih.gov/pubmed/24834109
http://dx.doi.org/10.1155/2014/862910

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