scholarly journals Ultra-Wideband Imaging Systems for Breast Cancer Detection

2013 ◽  
pp. 83-103 ◽  
Author(s):  
Hossein Kassiri Bidhendi ◽  
Hamed Mazhab Jafari ◽  
Roman Genov
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Breast Cancer Detection ◽  
Imaging Systems ◽  
Ultra Wideband

scholarly journals The Performance Comparison of a Dual-Ridge Horn Antenna and a Planar Monopole Antenna in the Microwave Breast Cancer Detection

2020 ◽  
Vol 9 (2) ◽  
pp. 84-92
Author(s):  
A. R. Celik ◽  
M. B. Kurt
Keyword(s):  
Breast Cancer ◽  
Dielectric Constant ◽  
Cancer Detection ◽  
Breast Cancer Detection ◽  
Monopole Antenna ◽  
Ultra Wideband ◽  
Microwave Measurement ◽  
Significant Difference ◽  
Planar Monopole Antenna ◽  
Microwave Breast Cancer Detection

Detection of the breast cancer tumors at an early stage is very crucial to be successful in the treatment. Microwave measurement systems have gained much attention for this aim over last decades. The main principle of these systems is based on the significant difference in the dielectric properties of the malignant tumor and normal breast tissue in the microwave frequencies. In this paper, firstly several breast cancer detection techniques are mentioned. Then the advantages of the using microwaves in the detection systems are given. After that, some simulation and experimental studies of the radar-based ultra-wideband microwave measurement system are presented to detect tumor. The main purposes of these measurements are comparing the performance of a previously designed planar monopole antenna (PMA) with a dual-ridge horn (DRH) antenna and demonstrating a simple microwave breast cancer detection system. In the system, a planar breast phantom which is consisted of low dielectric constant material to represent the healthy tissue and high dielectric constant material to represent the tumor is used. Firstly, the measurements are made without tumor in the phantom. Then, the tumor-mimicking object is located to the phantom. In the measurements, both the PMA and DRH antennas are used respectively. These antennas are ultra-wideband and directional. They have narrow beamwidth and stable directional pattern at the interval of 3-10 GHz. According to the return loss results, the reflected energy increases when the antenna gets close to the tumor. Therefore, it can be said that the scattering parameters give important information about the tumor. According to the obtained results in this study, it can be said that the performance of the compact-sized PMA is better than the DRH antenna having larger size.

An overview of radar based ultra wideband breast cancer detection algorithms

2010 ◽  
Vol 1 (4) ◽  
pp. 273 ◽  
Author(s):  
Jianqi Teo ◽  
Yifan Chen ◽  
Cheong Boon Soh ◽  
Erry Gunawan ◽  
Kay Soon Low ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Breast Cancer Detection ◽  
Ultra Wideband ◽  
Detection Algorithms

NUMERICAL MODELLING FOR ULTRA WIDEBAND RADAR BREAST CANCER DETECTION AND CLASSIFICATION

2011 ◽  
Vol 34 ◽  
pp. 145-171 ◽  
Author(s):  
Raquel Cruz Conceição ◽  
Martin O'Halloran ◽  
Martin Glavin ◽  
Edward Jones
Keyword(s):  
Breast Cancer ◽  
Numerical Modelling ◽  
Cancer Detection ◽  
Breast Cancer Detection ◽  
Ultra Wideband ◽  
Wideband Radar

EXPERIMENTAL STUDY ON RADAR-BASED BREAST CANCER DETECTION USING UWB ANTENNAS WITHOUT BACKGROUND SUBTRACTION

2011 ◽  
Vol 23 (05) ◽  
pp. 383-391 ◽  
Author(s):  
Dan Zhang ◽  
Atsushi Mase
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Background Subtraction ◽  
Breast Cancer Detection ◽  
Ultra Wideband ◽  
Breast Cancer Patients ◽  
Uwb Antennas ◽  
Pulse Radar ◽  
Reflection Data ◽  
Cancer Tumor

An ultrashort-pulse radar using ultra-wideband (UWB) antennas such as compact Vivaldi antennas has been applied to the simulation experiment of breast cancer detection. A cooking-oil model and a commercial-made synthetic breast phantom model, which have been developed, as well as with real breast cancer patients during initial clinical trials have been used in our experiment. We detect the breast cancer tumor without using the background subtraction method. Image reconstructions of the breast models using reflection data have been performed by use of confocal microwave imaging (CMI) technique.

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