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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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| Pubblicato in: | Sci Rep |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5587589/ https://ncbi.nlm.nih.gov/pubmed/28878293 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-11222-z |
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