Whole-body PET parametric imaging employing direct 4D nested reconstruction and a generalized non-linear Patlak model

Nicolas A. Karakatsanis, Arman Rahmim

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

14 Scopus citations

Abstract

Graphical analysis is employed in The research setting To provide quantitative estimation of PET Tracer kinetics from dynamic images at a single bed. Recently, we proposed a multi-bed dynamic acquisition framework enabling clinically feasible whole-body parametric PET imaging by employing post-reconstruction parameter estimation. In addition, by incorporating linear Patlak modeling within The system matrix, we enabled direct 4D reconstruction in order To effectively circumvent noise amplification in dynamic whole-body imaging. However, direct 4D Patlak reconstruction exhibits a relatively slow convergence due To The presence of non-sparse spatial correlations in Temporal kinetic analysis. In addition, The standard Patlak model does not account for reversible uptake, Thus underestimating The influx rate Ki. We have developed a novel whole-body PET parametric reconstruction framework in The STIR platform, a widely employed open-source reconstruction Toolkit, a) enabling accelerated convergence of direct 4D multi-bed reconstruction, by employing a nested algorithm To decouple The Temporal parameter estimation from The spatial image update process, and b) enhancing The quantitative performance particularly in regions with reversible uptake, by pursuing a non-linear generalized Patlak 4D nested reconstruction algorithm. A set of published kinetic parameters and The XCAT phantom were employed for The simulation of dynamic multi-bed acquisitions. Quantitative analysis on The Ki images demonstrated considerable acceleration in The convergence of The nested 4D whole-body Patlak algorithm. In addition, our simulated and patient whole-body data in The postreconstruction domain indicated The quantitative benefits of our extended generalized Patlak 4D nested reconstruction for Tumor diagnosis and Treatment response monitoring.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2014
Subtitle of host publicationPhysics of Medical Imaging
PublisherSPIE
ISBN (Print)9780819498267
DOIs
StatePublished - 2014
EventMedical Imaging 2014: Physics of Medical Imaging - San Diego, CA, United States
Duration: Feb 17 2014Feb 20 2014

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume9033
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2014: Physics of Medical Imaging
Country/TerritoryUnited States
CitySan Diego, CA
Period2/17/142/20/14

Keywords

  • 4D
  • PET
  • Patlak
  • direct
  • generalized
  • nested
  • parametric
  • reconstruction
  • whole-body

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

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