Maximum a posteriori reconstruction of Patlak parametric image from sinograms in dynamic PET

Guobao Wang, Qi Jinyi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Parametric imaging using Patlak graphical method has been widely used to analyze dynamic PET data. The conventional way to generate Patlak parametric image is to reconstruct dynamic images first and then perform Patlak graphical analysis on the time activity curves pixel-by-pixel. In this paper we present a Bayesian method for reconstructing Patlak parametric images directly from raw sinogram data by combining the Patlak plot model with image reconstruction. A preconditioned conjugate gradient algorithm is used to find the maximum a posteriori solution. We conduct computer simulations to validate the proposed method. The comparison with conventional indirect approaches shows that the proposed method results in more accurate estimate of the parametric image.

Original languageEnglish (US)
Title of host publication2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
Pages161-164
Number of pages4
DOIs
StatePublished - 2007
Event2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 - Arlington, VA, United States
Duration: Apr 12 2007Apr 15 2007

Other

Other2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
CountryUnited States
CityArlington, VA
Period4/12/074/15/07

Keywords

  • Dynamic PET
  • Image reconstruction
  • Maximum a posteriori
  • Patlak analysis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Medicine(all)

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    Wang, G., & Jinyi, Q. (2007). Maximum a posteriori reconstruction of Patlak parametric image from sinograms in dynamic PET. In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (pp. 161-164). [4193247] https://doi.org/10.1109/ISBI.2007.356813