An Efficient Augmented Lagrangian Method for Statistical X-Ray CT Image Reconstruction

Statistical iterative reconstruction (SIR) for X-ray computed tomography (CT) under the penalized weighted least-squares criteria can yield significant gains over conventional analytical reconstruction from the noisy measurement. However, due to the nonlinear expression of the objective function, mo...

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Bibliografiset tiedot
Julkaisussa:PLoS One
Päätekijät: Li, Jiaojiao, Niu, Shanzhou, Huang, Jing, Bian, Zhaoying, Feng, Qianjin, Yu, Gaohang, Liang, Zhengrong, Chen, Wufan, Ma, Jianhua
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Public Library of Science 2015
Aiheet:
Research Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC4619856/
https://ncbi.nlm.nih.gov/pubmed/26495975
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0140579
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