The 2D Hotelling filter - a quantitative noise-reducing principal-component filter for dynamic PET data, with applications in patient dose reduction

BACKGROUND: In this paper we apply the principal-component analysis filter (Hotelling filter) to reduce noise from dynamic positron-emission tomography (PET) patient data, for a number of different radio-tracer molecules. We furthermore show how preprocessing images with this filter improves paramet...

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Detalles Bibliográficos
Autores principales: Axelsson, Jan, Sörensen, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3636030/
https://www.ncbi.nlm.nih.gov/pubmed/23574799
http://dx.doi.org/10.1186/1756-6649-13-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3636030/
https://www.ncbi.nlm.nih.gov/pubmed/23574799
http://dx.doi.org/10.1186/1756-6649-13-1

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