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Numerical and experimental analysis of a transmission-based breast imaging system: a study of application to patients

Published online by Cambridge University Press:  07 April 2020

Elham Norouzzadeh ,
Somayyeh Chamaani Open the ORCID record for Somayyeh Chamaani [Opens in a new window] ,
Jochen Moll Open the ORCID record for Jochen Moll [Opens in a new window] ,
Christian Kexel ,
Duy Hai Nguyen Open the ORCID record for Duy Hai Nguyen [Opens in a new window] ,
Frank Hübner ,
Babak Bazrafshan ,
Thomas J. Vogl  and
Viktor Krozer
Elham Norouzzadeh
Affiliation:
Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran
Somayyeh Chamaani*
Affiliation:
Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran
Jochen Moll
Affiliation:
Department of Physics, Goethe University of Frankfurt, Frankfurt am Main60438, Germany
Christian Kexel
Affiliation:
Department of Physics, Goethe University of Frankfurt, Frankfurt am Main60438, Germany
Duy Hai Nguyen
Affiliation:
Department of Physics, Goethe University of Frankfurt, Frankfurt am Main60438, Germany
Frank Hübner
Affiliation:
Institute for Diagnostic and Interventional Radiology, Goethe University Hospital Frankfurt am Main, Frankfurt am Main, Germany
Babak Bazrafshan
Affiliation:
Institute for Diagnostic and Interventional Radiology, Goethe University Hospital Frankfurt am Main, Frankfurt am Main, Germany
Thomas J. Vogl
Affiliation:
Institute for Diagnostic and Interventional Radiology, Goethe University Hospital Frankfurt am Main, Frankfurt am Main, Germany
Viktor Krozer
Affiliation:
Department of Physics, Goethe University of Frankfurt, Frankfurt am Main60438, Germany
*
Author for correspondence: Somayyeh Chamaani, E-mail: [email protected]
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Abstract

Early detection of breast cancer is required to increase the chances of a successful treatment. However, current breast-imaging systems such as X-Ray mammography, breast ultrasound, and magnetic resonance imaging have technological limitations so that novel solutions are needed to address this major societal problem. The current paper considers ultra-wideband (UWB) microwave radiation in the frequency band from 1 to 9 GHz. Given by the non-ionizing nature of microwaves frequent check-ups are more feasible. In this work, we propose algorithms for qualitative and quantitative microwave breast imaging for a transmission-based UWB system. Based on numerical and experimental data, the performance of the algorithms has been investigated and compared. Finally, microwave images obtained during an initial patient study are discussed relative to corresponding X-ray images.

Keywords

Microwave imagingimage reconstructionUWB diagnosticspatient study
Type
Research Paper
Information
International Journal of Microwave and Wireless Technologies , Volume 12 , Special Issue 6: EuCAP 2019 Special Issue , July 2020 , pp. 469 - 476
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Copyright
Copyright © Cambridge University Press and the European Microwave Association 2020

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