A strategy to account for noise in the X-variable to reduce underestimation in Logan graphical analysis for quantifying receptor density in positron emission tomography

BACKGROUND: The Logan graphical analysis (LGA) algorithm is widely used to quantify receptor density for parametric imaging in positron emission tomography (PET). Estimating receptor density, in terms of the non-displaceable binding potential (BP(ND)), from the LGA using the ordinary least-squares (...

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Detalles Bibliográficos
Autores principales: Shigwedha, Paulus K., Yamada, Takahiro, Hanaoka, Kohei, Ishii, Kazunari, Kimura, Yuichi, Fukuoka, Yutaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7011280/
https://www.ncbi.nlm.nih.gov/pubmed/32041550
http://dx.doi.org/10.1186/s12880-020-0421-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7011280/
https://www.ncbi.nlm.nih.gov/pubmed/32041550
http://dx.doi.org/10.1186/s12880-020-0421-6

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