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

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

Abstract 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 (B P ND ), from the LGA using the ordinary least-...

Full description

Bibliographic Details
Main Authors: Paulus K. Shigwedha, Takahiro Yamada, Kohei Hanaoka, Kazunari Ishii, Yuichi Kimura, Yutaka Fukuoka
Format: Article
Language:English
Published: BMC 2020-02-01
Series:BMC Medical Imaging
Subjects:
Positron emission tomography
Logan graphical analysis
Receptor parametric imaging
Binding potential
LSC
Online Access:https://doi.org/10.1186/s12880-020-0421-6

Internet

https://doi.org/10.1186/s12880-020-0421-6

Similar Items