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Adaptive Tensor-Based Principal Component Analysis for Low-Dose CT Image Denoising
Computed tomography (CT) has a revolutionized diagnostic radiology but involves large radiation doses that directly impact image quality. In this paper, we propose adaptive tensor-based principal component analysis (AT-PCA) algorithm for low-dose CT image denoising. Pixels in the image are presented...
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| Vydáno v: | PLoS One |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2015
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4436221/ https://ncbi.nlm.nih.gov/pubmed/25993566 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0126914 |
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