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Improved tomographic reconstruction of large-scale real-world data by filter optimization
In advanced tomographic experiments, large detector sizes and large numbers of acquired datasets can make it difficult to process the data in a reasonable time. At the same time, the acquired projections are often limited in some way, for example having a low number of projections or a low signal-to...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5135727/ https://www.ncbi.nlm.nih.gov/pubmed/28003954 http://dx.doi.org/10.1186/s40679-016-0033-y |