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Statistical Iterative CBCT Reconstruction Based on Neural Network
Cone-beam CT (CBCT) plays an important role in radiation therapy. Statistical iterative reconstruction (SIR) algorithms with specially designed penalty terms provide good performance for low-dose CBCT imaging. Among others, the total variation (TV) penalty is the current state-of-the-art in removing...
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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/PMC6002810/ https://ncbi.nlm.nih.gov/pubmed/29870378 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2018.2829896 |
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