Journal
THERANOSTICS
Volume 3, Issue 10, Pages 802-815Publisher
IVYSPRING INT PUBL
DOI: 10.7150/thno.5130
Keywords
Dynamic positron emission tomography; Direct estimation
Categories
Funding
- National Institute of Biomedical Imaging and Bioengineering [R01EB000194, RC4EB012836]
- Department of Energy [DE-SC0002294]
- NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [R01EB000194, RC4EB012836] Funding Source: NIH RePORTER
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Dynamic positron emission tomography (PET) can monitor spatiotemporal distribution of radio-tracer 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.
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