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Postreconstruction filtering of 3D PET images by using weighted higher-order singular value decomposition
BACKGROUND: Positron emission tomography (PET) always suffers from high levels of noise due to the constraints of the injected dose and acquisition time, especially in the studies of dynamic PET imaging. To improve the quality of PET image, several approaches have been introduced to suppress noise....
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5002336/ https://www.ncbi.nlm.nih.gov/pubmed/27567671 http://dx.doi.org/10.1186/s12938-016-0221-y |