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Temporal sparsity exploiting nonlocal regularization for 4D computed tomography reconstruction
X-ray imaging applications in medical and material sciences are frequently limited by the number of tomographic projections collected. The inversion of the limited projection data is an ill-posed problem and needs regularization. Traditional spatial regularization is not well adapted to the dynamic...
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| Опубликовано в: : | J Xray Sci Technol |
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| Главные авторы: | , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
IOS Press
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4929339/ https://ncbi.nlm.nih.gov/pubmed/27002902 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3233/XST-160546 |
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