Compartmental modeling in PET kinetics

Hiroshi Watabe

doi:10.1007/978-3-319-40070-9_14

Compartmental modeling in PET kinetics

Hiroshi Watabe

Cyclotron and Radioisotope Center (CYRIC)

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

In this chapter, we explain how positron emission tomography (PET) data are analyzed to estimate behavior of radiotracer injected. For this purpose, compartmental model and its kinetic parameters are introduced, and concept, mathematical basis, and biological interpretation of the compartmental model and the kinetic parameters are described. General form of the compartmental model is brought for comprehensive understanding of the model. Several approaches for fast estimation of the kinetic parameters are introduced based on general compartmental model. The input function for the compartmental model is important for quantitative analysis of PET data, and the reference region model is one approach to avoid acquisition of the input function.

Original language	English
Title of host publication	Basic Science of PET Imaging
Publisher	Springer International Publishing
Pages	323-352
Number of pages	30
ISBN (Electronic)	9783319400709
ISBN (Print)	9783319400686
DOIs	https://doi.org/10.1007/978-3-319-40070-9_14
Publication status	Published - 2016 Jan 1

ASJC Scopus subject areas

Medicine(all)

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10.1007/978-3-319-40070-9_14

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AB - In this chapter, we explain how positron emission tomography (PET) data are analyzed to estimate behavior of radiotracer injected. For this purpose, compartmental model and its kinetic parameters are introduced, and concept, mathematical basis, and biological interpretation of the compartmental model and the kinetic parameters are described. General form of the compartmental model is brought for comprehensive understanding of the model. Several approaches for fast estimation of the kinetic parameters are introduced based on general compartmental model. The input function for the compartmental model is important for quantitative analysis of PET data, and the reference region model is one approach to avoid acquisition of the input function.

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Compartmental modeling in PET kinetics

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