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Image reconstruction for positron emission tomography using fuzzy nonlinear anisotropic diffusion penalty
Iterative algorithms such as ML-EM become the standard for the reconstruction in emission computed tomography. However, such algorithms are sensitive to noise artifacts so that the reconstruction begins to degrade when the number of iterations reaches a certain value. In this paper, we have investig...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Springer
2006
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2235198/ https://ncbi.nlm.nih.gov/pubmed/17061117 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11517-006-0115-4 |
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