Microwave Breast Imaging for Cancer Diagnosis: An overview [Bioelectromagnetics]

Microwave (MW) breast imaging has been investigated as a complementary breast diagnosis modality for more than 30 years, and it is still an active field of research. We discuss the challenges concerning antenna design and provide a “lookup tool” to help researchers with the selection of the best antenna to suit their needs. Moreover, we examine the algorithms proposed for radar and tomography imaging systems and review how machine learning (ML) techniques have been applied to MW signals to detect signatures or patterns that are otherwise impossible to detect. We discuss data fusion techniques that merge MW and other technologies or signal processing techniques. Finally, we identify open challenges on software and hardware components so that MW breast imaging (MWBI) may become an effective primary diagnosis modality.

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Publication Details

Journal
IEEE Antennas and Propagation Magazine
Published
2024-08-01
DOI
https://doi.org/10.1109/map.2024.3411480
Citations
2
Primary Topic
Microwave Imaging and Scattering Analysis
Type
article
Field-Weighted Citation Impact
0.37

Funders

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article

Microwave Breast Imaging for Cancer Diagnosis: An overview [Bioelectromagnetics]

Raquel A. Martins, João M. Felício, Jorge R. Costa, Carlos A. Fernandes
2 citations
IEEE Antennas and Propagation Magazine
Microwave Imaging and Scattering Analysis
0.37
article

Microwave Breast Imaging for Cancer Diagnosis: An overview [Bioelectromagnetics]

Raquel A. Martins, João M. Felício, Jorge R. Costa, Carlos A. Fernandes
article en
2 citations

Abstract

Microwave (MW) breast imaging has been investigated as a complementary breast diagnosis modality for more than 30 years, and it is still an active field of research. We discuss the challenges concerning antenna design and provide a “lookup tool” to help researchers with the selection of the best antenna to suit their needs. Moreover, we examine the algorithms proposed for radar and tomography imaging systems and review how machine learning (ML) techniques have been applied to MW signals to detect signatures or patterns that are otherwise impossible to detect. We discuss data fusion techniques that merge MW and other technologies or signal processing techniques. Finally, we identify open challenges on software and hardware components so that MW breast imaging (MWBI) may become an effective primary diagnosis modality.

IEEE Antennas and Propagation MagazineVol. 66(4)
Iscte – Instituto Universitário de Lisboa (PT), University of Lisbon (PT), Instituto de Telecomunicações (PT), Escola Naval (PT)
European Regional Development Fund
Good health and well-being
Openalex Percentile: Top 44%
Microwave Imaging and Scattering Analysis
0.37
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Microwave Breast Imaging for Cancer Diagnosis: An overview [Bioelectromagnetics] — Raquel A. Martins, João M. Felício, et al. · IEEE Antennas and Propagation Magazine (2024) | TGRS Research Map | TGRS