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HYPR4D kernel method on TOF PET data with validations including image-derived input function
BACKGROUND: Positron emission tomography (PET) images are typically noisy especially in dynamic imaging where the PET data are divided into a number of short temporal frames often with a low number of counts. As a result, image features such as contrast and time–activity curves are highly variable....
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer International Publishing
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672183/ https://www.ncbi.nlm.nih.gov/pubmed/36394674 http://dx.doi.org/10.1186/s40658-022-00507-6 |