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Enhanced Extraction of Blood and Tissue Time-Activity Curves in Cardiac Mouse FDG PET Imaging by Means of Constrained Nonnegative Matrix Factorization

We propose an enhanced method to accurately retrieve time-activity curves (TACs) of blood and tissue from dynamic 2-deoxy-2-[(18)F]fluoro-D-glucose ([(18)F]FDG) positron emission tomography (PET) cardiac images of mice. The method is noninvasive and consists of using a constrained nonnegative matrix...

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Autores principales: Sarrhini, Otman, D'Orléans-Juste, Pedro, Rousseau, Jacques A., Beaudoin, Jean-François, Lecomte, Roger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287520/
https://www.ncbi.nlm.nih.gov/pubmed/37362614
http://dx.doi.org/10.1155/2023/5366733
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author Sarrhini, Otman
D'Orléans-Juste, Pedro
Rousseau, Jacques A.
Beaudoin, Jean-François
Lecomte, Roger
author_facet Sarrhini, Otman
D'Orléans-Juste, Pedro
Rousseau, Jacques A.
Beaudoin, Jean-François
Lecomte, Roger
author_sort Sarrhini, Otman
collection PubMed
description We propose an enhanced method to accurately retrieve time-activity curves (TACs) of blood and tissue from dynamic 2-deoxy-2-[(18)F]fluoro-D-glucose ([(18)F]FDG) positron emission tomography (PET) cardiac images of mice. The method is noninvasive and consists of using a constrained nonnegative matrix factorization algorithm (CNMF) applied to the matrix (A) containing the intensity values of the voxels of the left ventricle (LV) PET image. CNMF factorizes A into nonnegative matrices H and W, respectively, representing the physiological factors (blood and tissue) and their associated weights, by minimizing an extended cost function. We verified our method on 32 C57BL/6 mice, 14 of them with acute myocardial infarction (AMI). With CNMF, we could break down the mouse LV into myocardial and blood pool images. Their corresponding TACs were used in kinetic modeling to readily determine the [(18)F]FDG influx constant (K(i)) required to compute the myocardial metabolic rate of glucose. The calculated K(i) values using CNMF for the heart of control mice were in good agreement with those published in the literature. Significant differences in K(i) values for the heart of control and AMI mice were found using CNMF. The values of the elements of W agreed well with the LV structural changes induced by ligation of the left coronary artery. CNMF was compared with the recently published method based on robust unmixing of dynamic sequences using regions of interest (RUDUR). A clear improvement of signal separation was observed with CNMF compared to the RUDUR method.
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spelling pubmed-102875202023-06-23 Enhanced Extraction of Blood and Tissue Time-Activity Curves in Cardiac Mouse FDG PET Imaging by Means of Constrained Nonnegative Matrix Factorization Sarrhini, Otman D'Orléans-Juste, Pedro Rousseau, Jacques A. Beaudoin, Jean-François Lecomte, Roger Int J Biomed Imaging Research Article We propose an enhanced method to accurately retrieve time-activity curves (TACs) of blood and tissue from dynamic 2-deoxy-2-[(18)F]fluoro-D-glucose ([(18)F]FDG) positron emission tomography (PET) cardiac images of mice. The method is noninvasive and consists of using a constrained nonnegative matrix factorization algorithm (CNMF) applied to the matrix (A) containing the intensity values of the voxels of the left ventricle (LV) PET image. CNMF factorizes A into nonnegative matrices H and W, respectively, representing the physiological factors (blood and tissue) and their associated weights, by minimizing an extended cost function. We verified our method on 32 C57BL/6 mice, 14 of them with acute myocardial infarction (AMI). With CNMF, we could break down the mouse LV into myocardial and blood pool images. Their corresponding TACs were used in kinetic modeling to readily determine the [(18)F]FDG influx constant (K(i)) required to compute the myocardial metabolic rate of glucose. The calculated K(i) values using CNMF for the heart of control mice were in good agreement with those published in the literature. Significant differences in K(i) values for the heart of control and AMI mice were found using CNMF. The values of the elements of W agreed well with the LV structural changes induced by ligation of the left coronary artery. CNMF was compared with the recently published method based on robust unmixing of dynamic sequences using regions of interest (RUDUR). A clear improvement of signal separation was observed with CNMF compared to the RUDUR method. Hindawi 2023-06-15 /pmc/articles/PMC10287520/ /pubmed/37362614 http://dx.doi.org/10.1155/2023/5366733 Text en Copyright © 2023 Otman Sarrhini et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Sarrhini, Otman
D'Orléans-Juste, Pedro
Rousseau, Jacques A.
Beaudoin, Jean-François
Lecomte, Roger
Enhanced Extraction of Blood and Tissue Time-Activity Curves in Cardiac Mouse FDG PET Imaging by Means of Constrained Nonnegative Matrix Factorization
title Enhanced Extraction of Blood and Tissue Time-Activity Curves in Cardiac Mouse FDG PET Imaging by Means of Constrained Nonnegative Matrix Factorization
title_full Enhanced Extraction of Blood and Tissue Time-Activity Curves in Cardiac Mouse FDG PET Imaging by Means of Constrained Nonnegative Matrix Factorization
title_fullStr Enhanced Extraction of Blood and Tissue Time-Activity Curves in Cardiac Mouse FDG PET Imaging by Means of Constrained Nonnegative Matrix Factorization
title_full_unstemmed Enhanced Extraction of Blood and Tissue Time-Activity Curves in Cardiac Mouse FDG PET Imaging by Means of Constrained Nonnegative Matrix Factorization
title_short Enhanced Extraction of Blood and Tissue Time-Activity Curves in Cardiac Mouse FDG PET Imaging by Means of Constrained Nonnegative Matrix Factorization
title_sort enhanced extraction of blood and tissue time-activity curves in cardiac mouse fdg pet imaging by means of constrained nonnegative matrix factorization
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287520/
https://www.ncbi.nlm.nih.gov/pubmed/37362614
http://dx.doi.org/10.1155/2023/5366733
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