UWB device for breast microwave imaging: phantom and clinical validations
•Huygens principle microwave imaging gives homogeneity maps of dielectric properties.•Microwave apparatus does not require any breast compression or any matching liquid.•MAX/AVG is used to measure the non-homogenous behavior of images.•Detection of inclusions in phantoms is achieved.•MAX/AVG is stat...
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Veröffentlicht in: | Measurement : journal of the International Measurement Confederation 2019-11, Vol.146, p.582-589 |
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creator | Vispa, Alessandro Sani, Lorenzo Paoli, Martina Bigotti, Alessandra Raspa, Giovanni Ghavami, Navid Caschera, Stefano Ghavami, Mohammad Duranti, Michele Tiberi, Gianluigi |
description | •Huygens principle microwave imaging gives homogeneity maps of dielectric properties.•Microwave apparatus does not require any breast compression or any matching liquid.•MAX/AVG is used to measure the non-homogenous behavior of images.•Detection of inclusions in phantoms is achieved.•MAX/AVG is statistically robust to discriminate between healthy/non-healthy breasts.
Microwave imaging has received increasing attention in the last decades, motivated by its application in diagnostic imaging. Such effort has been encouraged by the fact that, at microwave frequencies, it is possible to distinguish between tissues with different dielectric properties. In such framework, a novel microwave device is presented here. The apparatus, consisting of two antennas operating in air, is completely safe and non-invasive since it does not emit any ionizing radiation and it can be used for breast lesion detection without requiring any breast crushing. We use Huygens Principle to provide a novel understanding into microwave imaging; specifically, the algorithm based on this principle provides images which represent homogeneity maps of the dielectric properties (dielectric constant and/or conductivity). The experimental results on phantoms having inclusions with different dielectric constants are presented here. In addition, the capability of the device to detect breast lesions has been verified through clinical examinations on 51 breasts. We introduce a metric to measure the non-homogenous behaviour of the image, establishing a modality to detect the presence of inclusions inside phantoms and, similarly, the presence of a lesion inside a breast. |
doi_str_mv | 10.1016/j.measurement.2019.05.109 |
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Microwave imaging has received increasing attention in the last decades, motivated by its application in diagnostic imaging. Such effort has been encouraged by the fact that, at microwave frequencies, it is possible to distinguish between tissues with different dielectric properties. In such framework, a novel microwave device is presented here. The apparatus, consisting of two antennas operating in air, is completely safe and non-invasive since it does not emit any ionizing radiation and it can be used for breast lesion detection without requiring any breast crushing. We use Huygens Principle to provide a novel understanding into microwave imaging; specifically, the algorithm based on this principle provides images which represent homogeneity maps of the dielectric properties (dielectric constant and/or conductivity). The experimental results on phantoms having inclusions with different dielectric constants are presented here. In addition, the capability of the device to detect breast lesions has been verified through clinical examinations on 51 breasts. We introduce a metric to measure the non-homogenous behaviour of the image, establishing a modality to detect the presence of inclusions inside phantoms and, similarly, the presence of a lesion inside a breast.</description><identifier>ISSN: 0263-2241</identifier><identifier>EISSN: 1873-412X</identifier><identifier>DOI: 10.1016/j.measurement.2019.05.109</identifier><language>eng</language><publisher>London: Elsevier Ltd</publisher><subject>Algorithms ; Breast cancer ; Breast imaging ; Diagnostic software ; Diagnostic systems ; Dielectric properties ; Huygens principle ; Image detection ; Image processing systems ; Inclusions ; Ionizing radiation ; Mammography ; Medical diagnosis ; Microwave frequencies ; Microwave imaging ; Microwaves ; Permittivity ; Ultra wideband technology</subject><ispartof>Measurement : journal of the International Measurement Confederation, 2019-11, Vol.146, p.582-589</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Nov 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c400t-56d28f91d4c2da4d5d27f5ef6b3cd99f8fdfa4d6f39a25722a6c281839e7e5603</citedby><cites>FETCH-LOGICAL-c400t-56d28f91d4c2da4d5d27f5ef6b3cd99f8fdfa4d6f39a25722a6c281839e7e5603</cites><orcidid>0000-0001-6307-921X ; 0000-0002-8069-3892</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.measurement.2019.05.109$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Vispa, Alessandro</creatorcontrib><creatorcontrib>Sani, Lorenzo</creatorcontrib><creatorcontrib>Paoli, Martina</creatorcontrib><creatorcontrib>Bigotti, Alessandra</creatorcontrib><creatorcontrib>Raspa, Giovanni</creatorcontrib><creatorcontrib>Ghavami, Navid</creatorcontrib><creatorcontrib>Caschera, Stefano</creatorcontrib><creatorcontrib>Ghavami, Mohammad</creatorcontrib><creatorcontrib>Duranti, Michele</creatorcontrib><creatorcontrib>Tiberi, Gianluigi</creatorcontrib><title>UWB device for breast microwave imaging: phantom and clinical validations</title><title>Measurement : journal of the International Measurement Confederation</title><description>•Huygens principle microwave imaging gives homogeneity maps of dielectric properties.•Microwave apparatus does not require any breast compression or any matching liquid.•MAX/AVG is used to measure the non-homogenous behavior of images.•Detection of inclusions in phantoms is achieved.•MAX/AVG is statistically robust to discriminate between healthy/non-healthy breasts.
Microwave imaging has received increasing attention in the last decades, motivated by its application in diagnostic imaging. Such effort has been encouraged by the fact that, at microwave frequencies, it is possible to distinguish between tissues with different dielectric properties. In such framework, a novel microwave device is presented here. The apparatus, consisting of two antennas operating in air, is completely safe and non-invasive since it does not emit any ionizing radiation and it can be used for breast lesion detection without requiring any breast crushing. We use Huygens Principle to provide a novel understanding into microwave imaging; specifically, the algorithm based on this principle provides images which represent homogeneity maps of the dielectric properties (dielectric constant and/or conductivity). The experimental results on phantoms having inclusions with different dielectric constants are presented here. In addition, the capability of the device to detect breast lesions has been verified through clinical examinations on 51 breasts. We introduce a metric to measure the non-homogenous behaviour of the image, establishing a modality to detect the presence of inclusions inside phantoms and, similarly, the presence of a lesion inside a breast.</description><subject>Algorithms</subject><subject>Breast cancer</subject><subject>Breast imaging</subject><subject>Diagnostic software</subject><subject>Diagnostic systems</subject><subject>Dielectric properties</subject><subject>Huygens principle</subject><subject>Image detection</subject><subject>Image processing systems</subject><subject>Inclusions</subject><subject>Ionizing radiation</subject><subject>Mammography</subject><subject>Medical diagnosis</subject><subject>Microwave frequencies</subject><subject>Microwave imaging</subject><subject>Microwaves</subject><subject>Permittivity</subject><subject>Ultra wideband technology</subject><issn>0263-2241</issn><issn>1873-412X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqNUMtKAzEUDaJgrf5DxPWMecxkJu60-CgU3Fh0F9LkpmaYR02mI_69kbpw6erCeV3OQeiSkpwSKq6bvAMd9wE66MecESpzUiZKHqEZrSueFZS9HaMZYYJnjBX0FJ3F2BBCBJdihpbr1ztsYfIGsBsC3oQUN-LOmzB86gmw7_TW99sbvHvX_Th0WPcWm9b33ugWT7r1Vo9-6OM5OnG6jXDxe-do_XD_snjKVs-Py8XtKjMFIWNWCstqJ6ktDLO6sKVllSvBiQ03VkpXO-sSLByXmpUVY1oYVtOaS6igFITP0dUhdxeGjz3EUTXDPvTppWJM1mXBOauTSh5UqUeMAZzahVQlfClK1M9yqlF_llM_yylSJkom7-LghVRj8hBUNB56A9YHMKOyg_9HyjcIFH4F</recordid><startdate>201911</startdate><enddate>201911</enddate><creator>Vispa, Alessandro</creator><creator>Sani, Lorenzo</creator><creator>Paoli, Martina</creator><creator>Bigotti, Alessandra</creator><creator>Raspa, Giovanni</creator><creator>Ghavami, Navid</creator><creator>Caschera, Stefano</creator><creator>Ghavami, Mohammad</creator><creator>Duranti, Michele</creator><creator>Tiberi, Gianluigi</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0001-6307-921X</orcidid><orcidid>https://orcid.org/0000-0002-8069-3892</orcidid></search><sort><creationdate>201911</creationdate><title>UWB device for breast microwave imaging: phantom and clinical validations</title><author>Vispa, Alessandro ; 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Microwave imaging has received increasing attention in the last decades, motivated by its application in diagnostic imaging. Such effort has been encouraged by the fact that, at microwave frequencies, it is possible to distinguish between tissues with different dielectric properties. In such framework, a novel microwave device is presented here. The apparatus, consisting of two antennas operating in air, is completely safe and non-invasive since it does not emit any ionizing radiation and it can be used for breast lesion detection without requiring any breast crushing. We use Huygens Principle to provide a novel understanding into microwave imaging; specifically, the algorithm based on this principle provides images which represent homogeneity maps of the dielectric properties (dielectric constant and/or conductivity). The experimental results on phantoms having inclusions with different dielectric constants are presented here. In addition, the capability of the device to detect breast lesions has been verified through clinical examinations on 51 breasts. We introduce a metric to measure the non-homogenous behaviour of the image, establishing a modality to detect the presence of inclusions inside phantoms and, similarly, the presence of a lesion inside a breast.</abstract><cop>London</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.measurement.2019.05.109</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-6307-921X</orcidid><orcidid>https://orcid.org/0000-0002-8069-3892</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Breast cancer Breast imaging Diagnostic software Diagnostic systems Dielectric properties Huygens principle Image detection Image processing systems Inclusions Ionizing radiation Mammography Medical diagnosis Microwave frequencies Microwave imaging Microwaves Permittivity Ultra wideband technology |
title | UWB device for breast microwave imaging: phantom and clinical validations |
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