Breast lesion detection through MammoWave device: microwave images’ parameters

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Tiberi, G., Sani, Lorenzo, Vispa, Alessandro, Loretoni, Riccardo, Duranti, Michele, Ghavami, N., Alvarez Sanchez-Bayuela, Daniel, Paoli, Martina, Bigotti, Alessandra, Badia, Mario, Scorsipa, Michele, Raspa, Giovanni and Ghavami, M. (2020). Breast lesion detection through MammoWave device: microwave images’ parameters. London South Bank University. https://doi.org/10.18744/lsbu.8qzyx
AuthorsTiberi, G., Sani, Lorenzo, Vispa, Alessandro, Loretoni, Riccardo, Duranti, Michele, Ghavami, N., Alvarez Sanchez-Bayuela, Daniel, Paoli, Martina, Bigotti, Alessandra, Badia, Mario, Scorsipa, Michele, Raspa, Giovanni and Ghavami, M.
Abstract

MammoWave is a microwave imaging device for breast lesions detection, which operates using two (azimuthally rotating) antennas without any matching liquid. Images, subsequently obtained by resorting to Huygens Principle, are intensity maps, representing the homogeneity of tissues’ dielectric properties.
In the paper: “Breast lesion detection through MammoWave device: empirical detection capability assessment of microwave images’ parameters”, we propose to generate, for each breast, a set of conductivity weighted microwave images by using different values of conductivity in the Huygens Principle imaging algorithm. Next, microwave images’ parameters, i.e. features, are introduced to quantify the non-homogenous behaviour of the image. This data set contains such features.

We empirically verify on 103 breasts that a selection of these features may allow distinction between breasts with no radiological finding (NF ) and breasts with radiological findings (WF), i.e. with lesions which may be benign or malign. Statistical significance was set at p <0.05. We obtained single features Area Under the receiver operating characteristic Curves (AUCs) spanning from 0.65 to 0.69. In addition, an empirical rule-of-thumb allowing breast assessment is introduced using a binary score S operating on an appropriate combination of features. Performances of such rule-of-thumb are evaluated empirically, obtaining a sensitivity of 74%, which increases to 84% when considering dense breasts only.

Keywordsmicrowave imaging; breast lesion detection; breat microwave imaging; huygens principle
Year2020
PublisherLondon South Bank University
Digital Object Identifier (DOI)https://doi.org/10.18744/lsbu.8qzyx
FunderH2020 Marie Skłodowska-Curie Actions
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Italy
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Deposited28 Oct 2020
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