Linearized Methods for Quantitative Analysis and Parametric Mapping of Brain PET / 핵의학분자영상
Nuclear Medicine and Molecular Imaging
; : 78-84, 2007.
Article
in Korean
| WPRIM (Western Pacific)
| ID: wpr-22277
Responsible library:
WPRO
ABSTRACT
Quantitative analysis of dynamic brain PET data using a tracer kinetic modeling has played important roles in the investigation of functional and molecular basis of various brain diseases. Parametric imaging of the kinetic parameters (voxel-wise representation of the estimated parameters) has several advantages over the conventional approaches using region of interest (ROI). Therefore, several strategies have been suggested to generate the parametric images with a minimal bias and variability in the parameter estimation. In this paper, we will review the several approaches for parametric imaging with linearized methods which include graphical analysis and mulilinear regression analysis.
Full text:
Available
Database:
WPRIM (Western Pacific)
Main subject:
Brain
/
Brain Diseases
/
Bias
/
Linear Models
Language:
Korean
Journal:
Nuclear Medicine and Molecular Imaging
Year:
2007
Document type:
Article