@inproceedings{c01e6b0bf6bc46c39cae1c3674972c5e,
title = "Whole-body PET parametric imaging employing direct 4D nested reconstruction and a generalized non-linear Patlak model",
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.",
keywords = "4D, PET, Patlak, direct, generalized, nested, parametric, reconstruction, whole-body",
author = "Karakatsanis, {Nicolas A.} and Arman Rahmim",
year = "2014",
doi = "10.1117/12.2043918",
language = "English (US)",
isbn = "9780819498267",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
booktitle = "Medical Imaging 2014",
note = "Medical Imaging 2014: Physics of Medical Imaging ; Conference date: 17-02-2014 Through 20-02-2014",
}