Direct estimation of kinetic parametric images for dynamic PET.

Guobao Wang, Jinyi Qi

Research output: Contribution to journalArticle

54 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)802-815
Number of pages14
JournalTheranostics
Volume3
Issue number10
DOIs
StatePublished - 2013

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Positron-Emission Tomography
Nonlinear Dynamics
Computer-Assisted Image Processing
Noise

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Pharmacology, Toxicology and Pharmaceutics (miscellaneous)

Cite this

Direct estimation of kinetic parametric images for dynamic PET. / Wang, Guobao; Qi, Jinyi.

In: Theranostics, Vol. 3, No. 10, 2013, p. 802-815.

Research output: Contribution to journalArticle

Wang, Guobao ; Qi, Jinyi. / Direct estimation of kinetic parametric images for dynamic PET. In: Theranostics. 2013 ; Vol. 3, No. 10. pp. 802-815.
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