Enhancing Tumor Detection in IR-UWB Breast Cancer System

نویسندگان

  • Sara Fouad
  • Reda Ghoname
  • Abd Elmonem Elmahdy
  • Abd Elhalim Zekry
چکیده

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 (80 × 80 mm2) features a -10 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.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Miniaturized CPW-Fed Tapered Slot Antenna in Lossy Environment for UWB Application in Breast Cancer Detection

In this paper, a miniaturized coplanar waveguide fed (CPW-fed) tapered slot antenna (TSA) is introduced for breast cancer detection. Here, a modified CPW to slot-line transition structure with an air-bridge is employed to broaden the transition bandwidth and increase the radiation efficiency. Through these applied modifications, negative features of the original TSA (limitation of transition) a...

متن کامل

Breast tumor detection using microwave ultra wideband (UWB) forward scattering radar system

Most of the currently established techniques for breast cancer have inherent disadvantages, such as destructive effects, image accuracy, and others. In addition, mammography and nuclear methods have a potential for producing harmful ionization effects in humans. Another technique for breast cancer detection is microwave imaging radar, which has the advantage of a less hazardous modality and is ...

متن کامل

A Hierarchical Classification Method for Breast Tumor Detection

Introduction Breast cancer is the second cause of mortality among women. Early detection of it can enhance the chance of survival. Screening systems such as mammography cannot perfectly differentiate between patients and healthy individuals. Computer-aided diagnosis can help physicians make a more accurate diagnosis. Materials and Methods Regarding the importance of separating normal and abnorm...

متن کامل

Low-cost Vector Network Analyzer for Biomedical Applications

A low-cost and portable vector network analyzer (VNA) which covered operating frequency between 1MHz to 3GHz is used for vector reflection coefficient and standing wave ratio (swr) of the various microstrip antennas. This paper presents measurements of various ultra wideband (uwb) microstrip antennas for applications in biomedical field. Selection of antenna is an important key for detection of...

متن کامل

UWB Microwave Breast Cancer Detection Using SAR

Breast cancer is one of the leading causes of cancer-related deaths worldwide. Early detection increases the chances of successful treatment and a patients long term health. Ultra-Wideband (UWB) Microwave imaging is a technique that uses wide bandwidth electromagnetic signals to see through the internal structure of the breast. It detects and localizes cancer tumors based on the high dielectric...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 2017  شماره 

صفحات  -

تاریخ انتشار 2017