Microwave imaging for breast cancer detection: Experimental comparison of Confocal and Holography algorithms

Yarleque Medina; Manuel Augusto; Arantxa Villavicencio Paz

doi:10.1109/ANDESCON.2016.7836226

Microwave imaging for breast cancer detection: Experimental comparison of Confocal and Holography algorithms

Yarleque Medina
, Manuel Augusto
, Arantxa Villavicencio Paz

Sección de Ingeniería de Telecomunicaciones

Pontifical Catholic Univ. of Peru

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

Confocal and Holography algorithms are two different types of active microwave imaging radar-based techniques and are commonly applied to UWB systems for their good performance. In this paper, we present a comparison of both algorithms by using an experimental breast phantom to show the results. The breast phantom consists of a semispherical recipient of glass to represent the skin layer and three homogeneous spheres that simulate the tumors, which are a mixture of flour and water. Two different measurement systems are required and implemented for the different microwave imaging algorithms. The results consist of 2D reconstructed images, which demonstrate a viability of both algorithms for detection of tumor from 15 mm diameter, although some refinement is needed to have more accuracy in the tumor position. However, the concern for confocal technique is the contrast of the image, while holographic is the location of the real tumor phantom without imaginary targets on a wide reconstruction area.

Original language	English
Title of host publication	Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509025312
DOIs	https://doi.org/10.1109/ANDESCON.2016.7836226
State	Published - 27 Jan 2017
Event	2016 IEEE ANDESCON, ANDESCON 2016 - Arequipa, Peru Duration: 19 Oct 2016 → 21 Oct 2016

Publication series

Name	Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016

Conference

Conference	2016 IEEE ANDESCON, ANDESCON 2016
Country/Territory	Peru
City	Arequipa
Period	19/10/16 → 21/10/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Confocal Microwave Imaging Algorithm
Holography
Microwave Imaging
Two-dimensional reconstruction Algorithms

Access to Document

10.1109/ANDESCON.2016.7836226

Cite this

Medina, Y., Augusto, M., & Paz, A. V. (2017). Microwave imaging for breast cancer detection: Experimental comparison of Confocal and Holography algorithms. In Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016 Article 7836226 (Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ANDESCON.2016.7836226

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title = "Microwave imaging for breast cancer detection: Experimental comparison of Confocal and Holography algorithms",

abstract = "Confocal and Holography algorithms are two different types of active microwave imaging radar-based techniques and are commonly applied to UWB systems for their good performance. In this paper, we present a comparison of both algorithms by using an experimental breast phantom to show the results. The breast phantom consists of a semispherical recipient of glass to represent the skin layer and three homogeneous spheres that simulate the tumors, which are a mixture of flour and water. Two different measurement systems are required and implemented for the different microwave imaging algorithms. The results consist of 2D reconstructed images, which demonstrate a viability of both algorithms for detection of tumor from 15 mm diameter, although some refinement is needed to have more accuracy in the tumor position. However, the concern for confocal technique is the contrast of the image, while holographic is the location of the real tumor phantom without imaginary targets on a wide reconstruction area.",

keywords = "Confocal Microwave Imaging Algorithm, Holography, Microwave Imaging, Two-dimensional reconstruction Algorithms",

author = "Yarleque Medina and Manuel Augusto and Paz, \{Arantxa Villavicencio\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE ANDESCON, ANDESCON 2016 ; Conference date: 19-10-2016 Through 21-10-2016",

year = "2017",

month = jan,

day = "27",

doi = "10.1109/ANDESCON.2016.7836226",

language = "English",

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Medina, Y, Augusto, M & Paz, AV 2017, Microwave imaging for breast cancer detection: Experimental comparison of Confocal and Holography algorithms. in Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016., 7836226, Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE ANDESCON, ANDESCON 2016, Arequipa, Peru, 19/10/16. https://doi.org/10.1109/ANDESCON.2016.7836226

Microwave imaging for breast cancer detection: Experimental comparison of Confocal and Holography algorithms. / Medina, Yarleque; Augusto, Manuel; Paz, Arantxa Villavicencio.
Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7836226 (Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Microwave imaging for breast cancer detection

T2 - 2016 IEEE ANDESCON, ANDESCON 2016

AU - Medina, Yarleque

AU - Augusto, Manuel

AU - Paz, Arantxa Villavicencio

PY - 2017/1/27

Y1 - 2017/1/27

N2 - Confocal and Holography algorithms are two different types of active microwave imaging radar-based techniques and are commonly applied to UWB systems for their good performance. In this paper, we present a comparison of both algorithms by using an experimental breast phantom to show the results. The breast phantom consists of a semispherical recipient of glass to represent the skin layer and three homogeneous spheres that simulate the tumors, which are a mixture of flour and water. Two different measurement systems are required and implemented for the different microwave imaging algorithms. The results consist of 2D reconstructed images, which demonstrate a viability of both algorithms for detection of tumor from 15 mm diameter, although some refinement is needed to have more accuracy in the tumor position. However, the concern for confocal technique is the contrast of the image, while holographic is the location of the real tumor phantom without imaginary targets on a wide reconstruction area.

AB - Confocal and Holography algorithms are two different types of active microwave imaging radar-based techniques and are commonly applied to UWB systems for their good performance. In this paper, we present a comparison of both algorithms by using an experimental breast phantom to show the results. The breast phantom consists of a semispherical recipient of glass to represent the skin layer and three homogeneous spheres that simulate the tumors, which are a mixture of flour and water. Two different measurement systems are required and implemented for the different microwave imaging algorithms. The results consist of 2D reconstructed images, which demonstrate a viability of both algorithms for detection of tumor from 15 mm diameter, although some refinement is needed to have more accuracy in the tumor position. However, the concern for confocal technique is the contrast of the image, while holographic is the location of the real tumor phantom without imaginary targets on a wide reconstruction area.

KW - Confocal Microwave Imaging Algorithm

KW - Holography

KW - Microwave Imaging

KW - Two-dimensional reconstruction Algorithms

UR - https://www.scopus.com/pages/publications/85015255148

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DO - 10.1109/ANDESCON.2016.7836226

M3 - Conference contribution

AN - SCOPUS:85015255148

T3 - Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016

BT - Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 19 October 2016 through 21 October 2016

ER -

Microwave imaging for breast cancer detection: Experimental comparison of Confocal and Holography algorithms

Abstract

Publication series

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UN SDGs

Keywords

Access to Document

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