An improved statistical iterative algorithm for sparse-view and limited-angle CT image reconstruction

Because radiation is harmful to patients, it is important to reduce X-ray exposure in the clinic. For CT, reconstructions from sparse views or limited angle tomography are being used more frequently for low dose imaging. However, insufficient sampling data causes severe streak artifacts in images re...

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Detalles Bibliográficos
Autores principales: Hu, Zhanli, Gao, Juan, Zhang, Na, Yang, Yongfeng, Liu, Xin, Zheng, Hairong, Liang, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587589/
https://www.ncbi.nlm.nih.gov/pubmed/28878293
http://dx.doi.org/10.1038/s41598-017-11222-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587589/
https://www.ncbi.nlm.nih.gov/pubmed/28878293
http://dx.doi.org/10.1038/s41598-017-11222-z

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