Empirical Assessment of Breast Lesion Detection Capability Through an Innovative Microwave Imaging Device

Conference paper

Sani, L., Vispa, A., Ghavami, N., Ghavami, M. and Tiberi, G. (2020). Empirical Assessment of Breast Lesion Detection Capability Through an Innovative Microwave Imaging Device. European Conference on Antennas and Propagation. Düsseldorf , Germany 22 - 26 Mar 2021 The European Association on Antennas and Propagation . https://doi.org/10.23919/EuCAP51087.2021.9411432
AuthorsSani, L., Vispa, A., Ghavami, N., Ghavami, M. and Tiberi, G.
TypeConference paper
Abstract

This paper investigates the effect of conductivity weighting on microwave images obtained through a dedicated imaging device. MammoWave is a microwave imaging device for detection of breast lesions, operating using only two azimuthally rotating antennas without the use of matching liquids. For each breast, a set of conductivity weighted images are generated
through modifying our algorithm based on Huygens principle, producing intensity maps representing the homogeneity of tissues’ dielectric properties. Subsequently, we introduce several imaging parameters (i.e. features) to quantify the non-homogenous behaviour of the image. Through empirical investigation on 103 breasts, we can verify that a selection of these features could allow distinction between breasts with radiological findings (WF), i.e. with benign or malign lesions, and breasts with no radiological findings (NF). 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 0.68. Significantly, we achieve AUCs of up to 0.77 when considering dense breasts only, which tend to cause detection limitations in mammography exams.

KeywordsHuygens principle; Microwave imaging; Breast cancer detection.
Year2020
PublisherThe European Association on Antennas and Propagation
Digital Object Identifier (DOI)https://doi.org/10.23919/EuCAP51087.2021.9411432
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Publication dates
Print27 Apr 2021
Publication process dates
Accepted17 Dec 2020
Deposited21 Dec 2020
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