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Constructing a tissue-specific texture prior by machine learning from previous full-dose scan for Bayesian reconstruction of current ultralow-dose CT images
Purpose: Bayesian theory provides a sound framework for ultralow-dose computed tomography (ULdCT) image reconstruction with two terms for modeling the data statistical property and incorporating a priori knowledge for the image that is to be reconstructed. We investigate the feasibility of using a m...
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| Publicat a: | J Med Imaging (Bellingham) |
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| Autors principals: | , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Society of Photo-Optical Instrumentation Engineers
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7040436/ https://ncbi.nlm.nih.gov/pubmed/32118093 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.7.3.032502 |
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