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Sparse-view tomography via displacement function interpolation
Sparse-view tomography has many applications such as in low-dose computed tomography (CT). Using under-sampled data, a perfect image is not expected. The goal of this paper is to obtain a tomographic image that is better than the naïve filtered backprojection (FBP) reconstruction that uses linear in...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Singapore
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099552/ https://www.ncbi.nlm.nih.gov/pubmed/32240401 http://dx.doi.org/10.1186/s42492-019-0024-7 |