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Fast Variance Prediction for Iteratively Reconstructed CT Images with Locally Quadratic Regularization
Predicting noise properties of iteratively reconstructed CT images is useful for analyzing reconstruction methods; for example, local noise power spectrum (NPS) predictions may be used to quantify the detectability of an image feature, to design regularization methods, or to determine dynamic tube c...
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| Publicado no: | IEEE Trans Med Imaging |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5217761/ https://ncbi.nlm.nih.gov/pubmed/27448342 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2016.2593259 |
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