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

Haoxiang Liu, Xiaozhou Shang, Xiuzhu Ye*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

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.

源语言英语
主期刊名2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9780996007849
DOI
出版状态已出版 - 2 7月 2018
已对外发布
活动2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018 - Beijing, 中国
期限: 29 7月 20181 8月 2018

出版系列

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

会议

会议2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018
国家/地区中国
Beijing
时期29/07/181/08/18

指纹

探究 'Breast Cancer Detection Using Synthetic Aperture Radar Imaging and Distorted Born Iterative Method' 的科研主题。它们共同构成独一无二的指纹。

引用此