Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images.

Autor: Cavalcanti YC; University of Toulouse, IRIT/INP-ENSEEIHT, 31071, Toulouse Cedex 7, France. Electronic address: yanna.cavalcanti@enseeiht.fr., Oberlin T; ISAE-SUPAERO, University of Toulouse, France. Electronic address: thomas.oberlin@isae-supaero.fr., Ferraris V; University of Toulouse, IRIT/INP-ENSEEIHT, 31071, Toulouse Cedex 7, France. Electronic address: vinicius.ferraris@enseeiht.fr., Dobigeon N; University of Toulouse, IRIT/INP-ENSEEIHT, 31071, Toulouse Cedex 7, France; Institut Universitaire de France (IUF), France. Electronic address: nicolas.dobigeon@enseeiht.fr., Ribeiro M; UMRS Inserm U930 - Université de Tours, 37032 Tours, France. Electronic address: maria.ribeiro@univ-tours.fr., Tauber C; UMRS Inserm U930 - Université de Tours, 37032 Tours, France. Electronic address: clovis.tauber@univ-tours.fr.
Jazyk: angličtina
Zdroj: Medical image analysis [Med Image Anal] 2023 Feb; Vol. 84, pp. 102689. Date of Electronic Publication: 2022 Nov 22.
DOI: 10.1016/j.media.2022.102689
Abstrakt: When no arterial input function is available, quantification of dynamic PET images requires a previous step devoted to the extraction of a reference time-activity curve (TAC). Factor analysis is often applied for this purpose. This paper introduces a novel approach that conducts a new kind of nonlinear factor analysis relying on a compartment model, and computes the kinetic parameters of specific binding tissues jointly. To this end, it capitalizes on data-driven parametric imaging methods to provide a physical description of the underlying PET data, directly relating the specific binding with the kinetics of the non-specific binding in the corresponding tissues. This characterization is introduced into the factor analysis formulation to yield a novel nonlinear unmixing model designed for PET image analysis. This model also explicitly introduces global kinetic parameters that allow for a direct estimation of a binding potential that represents the ratio at equilibrium of specifically bound radioligand to the concentration of nondisplaceable radioligand in each non-specific binding tissue. The performance of the method is evaluated on synthetic and real data to demonstrate its potential interest.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2022. Published by Elsevier B.V.)
Databáze: MEDLINE
Externí odkaz: