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Extracting information from previous full-dose CT scan for knowledge-based Bayesian reconstruction of current low-dose CT images
Markov random field (MRF) model has been widely employed in edge-preserving regional noise smoothing penalty to reconstruct piece-wise smooth images in the presence of noise, such as in low-dose computed tomography (LdCT). While it preserves edge sharpness, its regional smoothing may sacrifice tissu...
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| Publicado no: | IEEE Trans Med Imaging |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4783190/ https://ncbi.nlm.nih.gov/pubmed/26561284 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2015.2498148 |
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