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Sparse-view X-ray CT Reconstruction via Total Generalized Variation Regularization

Sparse-view CT reconstruction algorithms via total variation (TV) optimize the data iteratively on the basis of a noise- and artifact-reducing model, resulting in significant radiation dose reduction while maintaining image quality. However, the piecewise constant assumption of TV minimization often...

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Detalhes bibliográficos
Publicado no:Phys Med Biol
Main Authors: Niu, Shanzhou, Gao, Yang, Bian, Zhaoying, Huang, Jing, Chen, Wufan, Yu, Gaohang, Liang, Zhengrong, Ma, Jianhua
Formato: Artigo
Idioma:Inglês
Publicado em: 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4219274/
https://ncbi.nlm.nih.gov/pubmed/24842150
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/0031-9155/59/12/2997
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