Abstract:
: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.
journal_name
Theranosticsjournal_title
Theranosticsauthors
Wang G,Qi Jdoi
10.7150/thno.5130subject
Has Abstractpub_date
2013-11-20 00:00:00pages
802-15issue
10issn
1838-7640pii
thnov03p0802journal_volume
3pub_type
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