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Iterative Low-dose CT Reconstruction with Priors Trained by Artificial Neural Network
Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in clinical applications. Iterative reconstruction algorithms are one of the most promising way to compensate for the increased noise due to reduction of photon flux. Most iterative reconstruction algorithms incorp...
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| Publicado no: | IEEE Trans Med Imaging |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5897914/ https://ncbi.nlm.nih.gov/pubmed/28922116 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2017.2753138 |
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