scholarly journals Design of an Ultra-Wideband Antenna for Breast Cancer Detection

2018 ◽  
Vol 7 (3.27) ◽  
pp. 471
Author(s):  
C Jayapriya ◽  
K Meena Alias Jeyanthi ◽  
. .
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Low Cost ◽  
Breast Cancer Detection ◽  
Diagnostic Methods ◽  
Ultra Wideband ◽  
Ultra Sound ◽  
Microwave Frequencies ◽  
Tumor Tissues ◽  
Breast Phantom

Ultra Wideband (UWB) radar is assuring technology for breast cancer detection based on the dielectric constant between normal and tumor tissues at Microwave frequencies. A Suitable design of a Microstrip Patch in Ultrawideband is proposed for microwave imaging in biomedical applications. Currently used clinical diagnostic methods, such as X-ray Mammography, Ultra-Sound and Magnetic Resonance Imaging, are limited by cost and reliability issues. These limitations have motivated researchers to develop a more effective, low-cost diagnostic method and involving lower ionization for cancer detection. The literature suggests a Side Slotted Vivaldi Antenna (SSVA) is clustered around 2.4GHz as the ISM band which is used for breast phantom measurement. Experimental validation is done mainly by using an antenna for detecting tumor cells inside a breast which is highly demanded as comfortable approach.   

MANUAL MODEL BACKGROUND SUBTRACTION METHOD FOR RADAR-BASED BREAST CANCER DETECTION EXPERIMENT

2014 ◽  
Vol 26 (01) ◽  
pp. 1450004 ◽  
Author(s):  
Dan Zhang ◽  
Atsushi Mase
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Background Subtraction ◽  
Breast Cancer Detection ◽  
Ultra Wideband ◽  
Subtraction Method ◽  
Uwb Antennas ◽  
Model Background ◽  
Breast Phantom ◽  
Cancer Tumor

We propose a manual model background subtraction method to detect the breast cancer tumor. A commercially made synthetic breast phantom model is used in our experiment. Ultra-wideband (UWB) antennas have been applied to the simulation experiment of breast cancer detection. The method is effective to detect the breast cancer tumor in real patients in the future.

scholarly journals Complex Dielectric Coefficient of Breast Phantom Prepared for Breast Cancer Detection

2013 ◽  
Vol 123 (2) ◽  
pp. 464-466 ◽  
Author(s):  
A. Sayinti ◽  
E. Açikalin ◽  
K. Çoban ◽  
A. Vertii
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Breast Cancer Detection ◽  
Breast Phantom ◽  
Dielectric Coefficient

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.

Multimodal Ultrasonic Imaging for Breast Cancer Detection

2012 ◽  
Vol 37 (3) ◽  
pp. 253-260 ◽  
Author(s):  
Jorge Camacho ◽  
Luis Medina ◽  
Jorge F. Cruza ◽  
José M. Moreno ◽  
Carlos Fritsch
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Current Practice ◽  
Ultrasonic Transducer ◽  
Screening Method ◽  
Phase Coherence ◽  
Breast Cancer Detection ◽  
Surrounding Tissue ◽  
Dense Breast Tissue ◽  
Breast Phantom

Abstract Ultrasound is used for breast cancer detection as a technique complementary to mammography, the standard screening method. Current practice is based on reflectivity images obtained with conventional instruments by an operator who positions the ultrasonic transducer by hand over the patient’s body. It is a non-ionizing radiation, pain-free and not expensive technique that provides a higher contrast than mammography to discriminate among fluid-filled cysts and solid masses, especially for dense breast tissue. However, results are quite dependent on the operator’s skills, images are difficult to reproduce, and state-of-the-art instruments have a limited resolution and contrast to show micro-calcifications and to discriminate between lesions and the surrounding tissue. In spite of their advantages, these factors have precluded the use of ultrasound for screening. This work approaches the ultrasound-based early detection of breast cancer with a different concept. A ring array with many elements to cover 360◦ around a hanging breast allows obtaining repeatable and operator-independent coronal slice images. Such an arrangement is well suited for multi-modal imaging that includes reflectivity, compounded, tomography, and phase coherence images for increased specificity in breast cancer detection. Preliminary work carried out with a mechanical emulation of the ring array and a standard breast phantom shows a high resolution and contrast, with an artifact-free capability provided by phase coherence processing.

scholarly journals Machine Learning and Infrared Thermography for Breast Cancer Detection

Proceedings ◽  
2019 ◽  
Vol 27 (1) ◽  
pp. 45 ◽  
Author(s):  
Caroline Gonçalves ◽  
Amanda Leles ◽  
Lucimara Oliveira ◽  
Gilmar Guimaraes ◽  
Juliano Cunha ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Infrared Thermography ◽  
Cancer Detection ◽  
Low Cost ◽  
Breast Cancer Detection ◽  
Support Vector ◽  
Patients With Cancer ◽  
Vector Machines ◽  
Malignant Changes ◽  
Harmful Radiation

Breast cancer kills a large number of women around the world. Infrared thermography is a promising screening technique which does not involve harmful radiation for the patient and has a relatively low cost. This work proposes an approach for classifying patients into three different classes using infrared images: healthy patients, patients with benign changes and patients with cancer (malignant changes). A set of features is extracted from each image and two approaches are used in the classification process. The first is based on Artificial Neural Networks while the second is based on Support Vector Machines. The proposed approach shows a great potential to be used as a screening diagnosis technique for early breast cancer detection.

Sign in / Sign up

Export Citation Format

Share Document