Table of Contents
International Scholarly Research Notices
Volume 2017 (2017), Article ID 4606580, 10 pages
Research Article

Enhancing Tumor Detection in IR-UWB Breast Cancer System

1The Higher Institute of Engineering, Modern Academy, Cairo, Egypt
2The Electrical and Computer Department, University of King Abd El Aziz, Jeddah, Saudi Arabia
3The Electronics and Communication Department, Faculty of Engineering, Ain shams University, Cairo, Egypt

Correspondence should be addressed to Sara Fouad

Received 19 December 2016; Accepted 19 February 2017; Published 19 March 2017

Academic Editor: Ayman El-Baz

Copyright © 2017 Sara Fouad et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


An ultra-wideband (UWB) microwave system for breast cancer detection is presented. The proposed system includes monocycle pulse generator, antipodal Vivaldi antenna, breast model, and calibration algorithm for tumor detection. Firstly, our pulse generator employs transmission gate in glitch generator to achieve several advantages such as low power consumption and low ringing level. Secondly, the antipodal Vivaldi antenna is designed assuming FR4 dielectric substrate material, and developed antenna element ( mm2) features a − dB return loss and bandwidth ranges from 2.3 GHz to more than 11 GHz. Thirdly, the phantom breast can be modeled as a layer of skin, fat, and then tumor is inserted in this layer. Finally, subtract and add algorithm (SAD) is used as a calibration algorithm in tumor detection system. The proposed system suggested that horizontal antenna position with 90° between transmitting and receiving antennas is localized as a suitable antenna position with different rotating location and a 0.5 cm near to phantom. The mean advantages of this localization and tracking position around breast is a high received power signal approximately around mv as a higher recognized signal in tumor detection. Using our proposed system we can detect tumor in 5 mm diameter.