Skip navigation

Simultaneous estimation of tracer kinetic model parameters using analytical and inverse approaches with a hybrid method

Simultaneous estimation of tracer kinetic model parameters using analytical and inverse approaches with a hybrid method

Natkunam, Kokulan, Hai, Yang, Lai, Choi-Hong ORCID logoORCID: https://orcid.org/0000-0002-7558-6398, George, Erwin ORCID logoORCID: https://orcid.org/0000-0001-9011-3970 and Liu, Li (2019) Simultaneous estimation of tracer kinetic model parameters using analytical and inverse approaches with a hybrid method. International Journal of Computer Mathematics. ISSN 0020-7160 (Print), 1029-0265 (Online) (doi:10.1080/00207160.2018.1562175)

[thumbnail of Author Accepted Manuscript]
Preview
PDF (Author Accepted Manuscript)
22462 KOKULAN_Simultaneous_Estimation_of_Tracer_Kinetic_Model_Parameters_2018.pdf - Accepted Version

Download (845kB) | Preview

Abstract

The inverse problem approach to Tracer Kinetic Modelling (TKM) using dynamic positron-emission tomography (PET) images is important in identifying the kinetic parameters and then quantifying the tracer concentrations in the region of interest. In parameter estimation, knowledge of good initial approximations to the parameters is essential. The aim of this paper is to extend existing work on an inverse method for tracer kinetics by proposing an improved hybrid method integrated with an analytic solution in a multi-objective formulation of the inverse method. The analytical solution is derived through the use of the Laplace transformation technique. This integrated approach will be compared against other parameter estimation techniques in terms of computational efficiency and accuracy.

Item Type: Article
Uncontrolled Keywords: Tracer kinetic modelling; Inverse problems; Laplace transform; Compartment model; Dynamic PET
Subjects: Q Science > QA Mathematics
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Faculty of Engineering & Science
Last Modified: 04 Mar 2022 13:06
URI: http://gala.gre.ac.uk/id/eprint/22462

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics