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Journal Article MUSIC Algorithm for Location Searching of Dielectric Anomalies from S-parameters using Microwave Imaging
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Authors
Won-Kwang Park, HwaPyung Kim, Kwang-Jae Lee, Seong-Ho Son
Issue Date
2017-11
Citation
Journal of Computational Physics, v.348, pp.259-270
ISSN
0021-9991
Publisher
Elsevier
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1016/j.jcp.2017.07.035
Project Code
17ZR1400, Research on Beam Focusing Algorithm for Microwave Treatment, Seong-Ho Son
Abstract
Motivated by the biomedical engineering used in early-stage breast cancer detection, we investigated the use of MUltiple SIgnal Classification (MUSIC) algorithm for location searching of small anomalies using S-parameters. We considered the application of MUSIC to functional imaging where a small number of dipole antennas are used. Our approach is based on the application of Born approximation or physical factorization. We analyzed cases in which the anomaly is respectively small and large in relation to the wavelength, and the structure of the left-singular vectors is linked to the nonzero singular values of a Multi-Static Response (MSR) matrix whose elements are the S-parameters. Using simulations, we demonstrated the strengths and weaknesses of the MUSIC algorithm in detecting both small and extended anomalies.
KSP Keywords
Biomedical engineering, Born approximation, Breast Cancer(BC), Breast cancer detection, Dielectric anomalies, Dipole antenna, Early stages, Functional Imaging, Microwave Imaging, Multi-static response (MSR) matrix, Multiple signal classification (MUSIC) algorithm