Theranostics 2013; 3(10):802-815. doi:10.7150/thno.5130


Direct Estimation of Kinetic Parametric Images for Dynamic PET

Guobao Wang, Jinyi Qi

Department of Biomedical Engineering, University of California, Davis, CA 95616.


Dynamic positron emission tomography (PET) can monitor spatiotemporal distribution of radiotracer in vivo. The spatiotemporal information can be used to estimate parametric images of radiotracer kinetics that are of physiological and biochemical interests. Direct estimation of parametric images from raw projection data allows accurate noise modeling and has been shown to offer better image quality than conventional indirect methods, which reconstruct a sequence of PET images first and then perform tracer kinetic modeling pixel-by-pixel. Direct reconstruction of parametric images has gained increasing interests with the advances in computing hardware. Many direct reconstruction algorithms have been developed for different kinetic models. In this paper we review the recent progress in the development of direct reconstruction algorithms for parametric image estimation. Algorithms for linear and nonlinear kinetic models are described and their properties are discussed.

Keywords: Dynamic positron emission tomography, Direct estimation

This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) License. See for full terms and conditions.
How to cite this article:
Wang G, Qi J. Direct Estimation of Kinetic Parametric Images for Dynamic PET. Theranostics 2013; 3(10):802-815. doi:10.7150/thno.5130. Available from