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Non-local Low-rank Cube-based Tensor Factorization for Spectral CT Reconstruction
Spectral computed tomography (CT) reconstructs material-dependent attenuation images from the projections of multiple narrow energy windows which is meaningful for material identification and decomposition. Unfortunately, the multi-energy projection datasets usually have lower signal-noise-ratios (S...
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| 出版年: | IEEE Trans Med Imaging |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6536296/ https://ncbi.nlm.nih.gov/pubmed/30371357 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2018.2878226 |
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