UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

A feasibility study of elastography based confocal microwave imaging technique for breast cancer detection

Ji, J; Tong, KF; Al-Armaghany, A; Leung, TS; (2017) A feasibility study of elastography based confocal microwave imaging technique for breast cancer detection. Optik , 144 pp. 108-114. 10.1016/j.ijleo.2017.06.072. Green open access

[thumbnail of Leung-T_a feasibility study_breast cancer detection.pdf]
Preview
Text
Leung-T_a feasibility study_breast cancer detection.pdf - Accepted Version

Download (588kB) | Preview

Abstract

Breast cancer is a common cancer type in women and its death rate is second highest among different kind of cancers. Early detection is an efficient way for curing and recovery. Confocal microwave imaging (CMI) using electromagnetic method for detection of breast cancer can avoid ionization caused by mammography. CMI uses the contrast of electrical properties between tumor and normal breast tissue to identify the existence and location of the tumor. However, new research result shows that gland and tumor have similar dielectric constant and electrical conductivity, so it is hard to distinguish gland and tumor. This paper proposes a new method based on elastography for the tumor identification. The high Young's modulus contrast of the two tissues resulting in different level of deformation by compression will provide sufficient features to discriminate whether the reflected signal is belonged to gland or tumor. Finite-difference time-domain (FDTD) method was used in simulation. Some examples were presented to validate the identification.

Type: Article
Title: A feasibility study of elastography based confocal microwave imaging technique for breast cancer detection
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.ijleo.2017.06.072
Publisher version: http://doi.org/10.1016/j.ijleo.2017.06.072
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Microwave imaging, Breast cancer, Detection, Young's modulus, Compression, Identification
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1568612
Downloads since deposit
123Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item