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High-Frequency Excitation and Surface Temperature Analysis of Breast Tissue for Detection of Anomaly
Techniques used for breast cancer detection usually incorporate Infrared Thermography (IRT) to locate abnormal hotspots or asymmetry in a thermal texture map. This can be unreliable due to various individual differences from one person to another. In this paper, a detection method that is independen...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935923/ https://www.ncbi.nlm.nih.gov/pubmed/36817859 http://dx.doi.org/10.1155/2023/4406235 |
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author | Jessie, Benjamin Liang, Jingchen Li, Yinan Fahimi, Babak |
author_facet | Jessie, Benjamin Liang, Jingchen Li, Yinan Fahimi, Babak |
author_sort | Jessie, Benjamin |
collection | PubMed |
description | Techniques used for breast cancer detection usually incorporate Infrared Thermography (IRT) to locate abnormal hotspots or asymmetry in a thermal texture map. This can be unreliable due to various individual differences from one person to another. In this paper, a detection method that is independent of the aforementioned limitations is proposed. This technique is a combination of thermal imaging and high-frequency excitation. This technique is based on the fact that the differences in electromagnetic and thermal properties of abnormal (malignant) tissue and the surrounding normal tissue will result in a noticeable difference in temperature increase after exposure to high-frequency excitation. A three-dimensional (3-D) finite-element method (FEM) has been used to simulate the thermal behavior of breast tissue exposed to antenna excitations. Finally, the effectiveness of this technique was tested in a series of experiments using a life-sized breast phantom. |
format | Online Article Text |
id | pubmed-9935923 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-99359232023-02-18 High-Frequency Excitation and Surface Temperature Analysis of Breast Tissue for Detection of Anomaly Jessie, Benjamin Liang, Jingchen Li, Yinan Fahimi, Babak Biomed Res Int Research Article Techniques used for breast cancer detection usually incorporate Infrared Thermography (IRT) to locate abnormal hotspots or asymmetry in a thermal texture map. This can be unreliable due to various individual differences from one person to another. In this paper, a detection method that is independent of the aforementioned limitations is proposed. This technique is a combination of thermal imaging and high-frequency excitation. This technique is based on the fact that the differences in electromagnetic and thermal properties of abnormal (malignant) tissue and the surrounding normal tissue will result in a noticeable difference in temperature increase after exposure to high-frequency excitation. A three-dimensional (3-D) finite-element method (FEM) has been used to simulate the thermal behavior of breast tissue exposed to antenna excitations. Finally, the effectiveness of this technique was tested in a series of experiments using a life-sized breast phantom. Hindawi 2023-02-08 /pmc/articles/PMC9935923/ /pubmed/36817859 http://dx.doi.org/10.1155/2023/4406235 Text en Copyright © 2023 Benjamin Jessie 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 Jessie, Benjamin Liang, Jingchen Li, Yinan Fahimi, Babak High-Frequency Excitation and Surface Temperature Analysis of Breast Tissue for Detection of Anomaly |
title | High-Frequency Excitation and Surface Temperature Analysis of Breast Tissue for Detection of Anomaly |
title_full | High-Frequency Excitation and Surface Temperature Analysis of Breast Tissue for Detection of Anomaly |
title_fullStr | High-Frequency Excitation and Surface Temperature Analysis of Breast Tissue for Detection of Anomaly |
title_full_unstemmed | High-Frequency Excitation and Surface Temperature Analysis of Breast Tissue for Detection of Anomaly |
title_short | High-Frequency Excitation and Surface Temperature Analysis of Breast Tissue for Detection of Anomaly |
title_sort | high-frequency excitation and surface temperature analysis of breast tissue for detection of anomaly |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935923/ https://www.ncbi.nlm.nih.gov/pubmed/36817859 http://dx.doi.org/10.1155/2023/4406235 |
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