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A Novel Discretization Procedure in the CSI-FEM Algorithm for Brain Stroke Microwave Imaging
In this work, the contrast source inversion method is combined with a finite element method to solve microwave imaging problems. The paper’s major contribution is the development of a novel contrast source variable discretization that leads to simplify the algorithm implementation and, at the same t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823425/ https://www.ncbi.nlm.nih.gov/pubmed/36616610 http://dx.doi.org/10.3390/s23010011 |
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author | Mariano, Valeria Tobon Vasquez, Jorge A. Vipiana, Francesca |
author_facet | Mariano, Valeria Tobon Vasquez, Jorge A. Vipiana, Francesca |
author_sort | Mariano, Valeria |
collection | PubMed |
description | In this work, the contrast source inversion method is combined with a finite element method to solve microwave imaging problems. The paper’s major contribution is the development of a novel contrast source variable discretization that leads to simplify the algorithm implementation and, at the same time, to improve the accuracy of the discretized quantities. Moreover, the imaging problem is recreated in a synthetic environment, where the antennas, and their corresponding coaxial port, are modeled. The implemented algorithm is applied to reconstruct the tissues’ dielectric properties inside the head for brain stroke microwave imaging. The proposed implementation is compared with the standard one to evaluate the impact of the variables’ discretization on the algorithm’s accuracy. Furthermore, the paper shows the obtained performances with the proposed and the standard implementations of the contrast source inversion method in the same realistic 3D scenario. The exploited numerical example shows that the proposed discretization can reach a better focus on the stroke region in comparison with the standard one. However, the variation is within a limited range of permittivity values, which is reflected in similar averages. |
format | Online Article Text |
id | pubmed-9823425 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98234252023-01-08 A Novel Discretization Procedure in the CSI-FEM Algorithm for Brain Stroke Microwave Imaging Mariano, Valeria Tobon Vasquez, Jorge A. Vipiana, Francesca Sensors (Basel) Article In this work, the contrast source inversion method is combined with a finite element method to solve microwave imaging problems. The paper’s major contribution is the development of a novel contrast source variable discretization that leads to simplify the algorithm implementation and, at the same time, to improve the accuracy of the discretized quantities. Moreover, the imaging problem is recreated in a synthetic environment, where the antennas, and their corresponding coaxial port, are modeled. The implemented algorithm is applied to reconstruct the tissues’ dielectric properties inside the head for brain stroke microwave imaging. The proposed implementation is compared with the standard one to evaluate the impact of the variables’ discretization on the algorithm’s accuracy. Furthermore, the paper shows the obtained performances with the proposed and the standard implementations of the contrast source inversion method in the same realistic 3D scenario. The exploited numerical example shows that the proposed discretization can reach a better focus on the stroke region in comparison with the standard one. However, the variation is within a limited range of permittivity values, which is reflected in similar averages. MDPI 2022-12-20 /pmc/articles/PMC9823425/ /pubmed/36616610 http://dx.doi.org/10.3390/s23010011 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mariano, Valeria Tobon Vasquez, Jorge A. Vipiana, Francesca A Novel Discretization Procedure in the CSI-FEM Algorithm for Brain Stroke Microwave Imaging |
title | A Novel Discretization Procedure in the CSI-FEM Algorithm for Brain Stroke Microwave Imaging |
title_full | A Novel Discretization Procedure in the CSI-FEM Algorithm for Brain Stroke Microwave Imaging |
title_fullStr | A Novel Discretization Procedure in the CSI-FEM Algorithm for Brain Stroke Microwave Imaging |
title_full_unstemmed | A Novel Discretization Procedure in the CSI-FEM Algorithm for Brain Stroke Microwave Imaging |
title_short | A Novel Discretization Procedure in the CSI-FEM Algorithm for Brain Stroke Microwave Imaging |
title_sort | novel discretization procedure in the csi-fem algorithm for brain stroke microwave imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823425/ https://www.ncbi.nlm.nih.gov/pubmed/36616610 http://dx.doi.org/10.3390/s23010011 |
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