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Adaptive Monostatic System for Measuring Microwave Reflections from the Breast
A second-generation monostatic radar system to measure microwave reflections from the human breast is presented and analyzed. The present system can measure the outline of the breast with an accuracy of ±1 mm and precisely place the microwave sensor in an adaptive matter such that microwaves are nor...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982192/ https://www.ncbi.nlm.nih.gov/pubmed/29701677 http://dx.doi.org/10.3390/s18051340 |
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author | Bourqui, Jeremie Kuhlmann, Martin Kurrant, Douglas J. Lavoie, Benjamin R. Fear, Elise C. |
author_facet | Bourqui, Jeremie Kuhlmann, Martin Kurrant, Douglas J. Lavoie, Benjamin R. Fear, Elise C. |
author_sort | Bourqui, Jeremie |
collection | PubMed |
description | A second-generation monostatic radar system to measure microwave reflections from the human breast is presented and analyzed. The present system can measure the outline of the breast with an accuracy of ±1 mm and precisely place the microwave sensor in an adaptive matter such that microwaves are normally incident on the skin. Microwave reflections are measured between 10 MHz to 12 GHz with sensitivity of 65 to 75 dB below the input power and a total scan time of 30 min for 140 locations. The time domain reflections measured from a volunteer show fidelity above 0.98 for signals in a single scan. Finally, multiple scans of a breast phantoms demonstrate the consistency of the system in terms of recorded reflection, outline measurement, and image reconstruction. |
format | Online Article Text |
id | pubmed-5982192 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-59821922018-06-05 Adaptive Monostatic System for Measuring Microwave Reflections from the Breast Bourqui, Jeremie Kuhlmann, Martin Kurrant, Douglas J. Lavoie, Benjamin R. Fear, Elise C. Sensors (Basel) Article A second-generation monostatic radar system to measure microwave reflections from the human breast is presented and analyzed. The present system can measure the outline of the breast with an accuracy of ±1 mm and precisely place the microwave sensor in an adaptive matter such that microwaves are normally incident on the skin. Microwave reflections are measured between 10 MHz to 12 GHz with sensitivity of 65 to 75 dB below the input power and a total scan time of 30 min for 140 locations. The time domain reflections measured from a volunteer show fidelity above 0.98 for signals in a single scan. Finally, multiple scans of a breast phantoms demonstrate the consistency of the system in terms of recorded reflection, outline measurement, and image reconstruction. MDPI 2018-04-26 /pmc/articles/PMC5982192/ /pubmed/29701677 http://dx.doi.org/10.3390/s18051340 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bourqui, Jeremie Kuhlmann, Martin Kurrant, Douglas J. Lavoie, Benjamin R. Fear, Elise C. Adaptive Monostatic System for Measuring Microwave Reflections from the Breast |
title | Adaptive Monostatic System for Measuring Microwave Reflections from the Breast |
title_full | Adaptive Monostatic System for Measuring Microwave Reflections from the Breast |
title_fullStr | Adaptive Monostatic System for Measuring Microwave Reflections from the Breast |
title_full_unstemmed | Adaptive Monostatic System for Measuring Microwave Reflections from the Breast |
title_short | Adaptive Monostatic System for Measuring Microwave Reflections from the Breast |
title_sort | adaptive monostatic system for measuring microwave reflections from the breast |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982192/ https://www.ncbi.nlm.nih.gov/pubmed/29701677 http://dx.doi.org/10.3390/s18051340 |
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