Iterative nonlinear least squares algorithms for direct reconstruction of parametric images from dynamic PET

Guobao Wang, Jinyi Qi

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

10 Scopus citations

Abstract

Indirect and direct methods have been developed for reconstructing parametric images from dynamic PET data. Indirect methods are relatively simple and easy to implement because the reconstruction and kinetic modeling are performed in two separate steps. Direct methods estimate the parametric images directly from the dynamic PET data and are statistically more ef cient, but the algorithms are often dif cult to implement. This paper presents a simple, monotonically convergent iterative algorithm for direct reconstruction of parametric images. Each iteration of the proposed algorithm consists of two separate steps: reconstruction of dynamic images followed by a pixel-wise weighted nonlinear least squares tting. This algorithm resembles the empirical iterative implementation of the indirect approach, but converges to the solution of the direct formulation.

Original languageEnglish (US)
Title of host publication2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI
Pages1031-1034
Number of pages4
DOIs
StatePublished - 2008
Event2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI - Paris, France
Duration: May 14 2008May 17 2008

Other

Other2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI
CountryFrance
CityParis
Period5/14/085/17/08

Keywords

  • Dynamic PET
  • Image reconstruction
  • Parametric imaging
  • Tracer kinetic modeling

ASJC Scopus subject areas

  • Biomedical Engineering

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    Wang, G., & Qi, J. (2008). Iterative nonlinear least squares algorithms for direct reconstruction of parametric images from dynamic PET. In 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI (pp. 1031-1034). [4541175] https://doi.org/10.1109/ISBI.2008.4541175