Breast Cancer Detection Using Synthetic Aperture Radar Imaging and Distorted Born Iterative Method

Haoxiang Liu, Xiaozhou Shang, Xiuzhu Ye*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Breast cancer is a major threatening disease to women's life nowadays. To ensure a surviving chance for the patients, it is quite crucial to detect and treat the breast cancer in the early stage. This article deals with the detection of breast cancer using two different microwave imaging methods. The first method is based on synthetic aperture radar (SAR) qualitative imaging method, and the second is based on inverse scattering quantitative imaging method, which can also reconstruct the relative permittivity for the breast. A two-dimensional simplified breast phantom is used to test both algorithms and the imaging results show that both methods are able to detect the cancer cell with good resolution.

Original languageEnglish
Title of host publication2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780996007849
DOIs
Publication statusPublished - 2 Jul 2018
Externally publishedYes
Event2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018 - Beijing, China
Duration: 29 Jul 20181 Aug 2018

Publication series

Name2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018

Conference

Conference2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018
Country/TerritoryChina
CityBeijing
Period29/07/181/08/18

Keywords

  • breast cancer
  • imaging
  • inverse-scattering
  • synthetic aperture radar

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Liu, H., Shang, X., & Ye, X. (2018). Breast Cancer Detection Using Synthetic Aperture Radar Imaging and Distorted Born Iterative Method. In 2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018 Article 8669335 (2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACESS.2018.8669335