scholarly journals Unsupervised time reversal based microwave imaging for breast cancer detection

2011 ◽  
Author(s):  
Mohmmad H. S. Sajjadieh ◽  
Amir Asif
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Time Reversal ◽  
Microwave Imaging ◽  
Breast Cancer Detection

Beamspace Time-Reversal Microwave Imaging for Breast Cancer Detection

2013 ◽  
Vol 12 ◽  
pp. 241-244 ◽  
Author(s):  
Md. Delwar Hossain ◽  
Ananda Sanagavarapu Mohan ◽  
Mohammed Jainul Abedin
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Time Reversal ◽  
Microwave Imaging ◽  
Breast Cancer Detection

scholarly journals ROTATING ANTENNA MICROWAVE IMAGING SYSTEM FOR BREAST CANCER DETECTION

2010 ◽  
Vol 107 ◽  
pp. 203-217 ◽  
Author(s):  
Martin O'Halloran ◽  
Martin Glavin ◽  
Edward Jones
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Imaging System ◽  
Microwave Imaging ◽  
Breast Cancer Detection

Holographic Microwave Imaging for Breast Cancer Detection Based on Compressive Sensing

2017 ◽  
Author(s):  
Lulu Wang ◽  
Hu Peng
Keyword(s):  
Breast Cancer ◽  
Compressive Sensing ◽  
Cancer Detection ◽  
Imaging System ◽  
Measurement Data ◽  
Operation Time ◽  
Microwave Imaging ◽  
Breast Cancer Detection ◽  
Split Bregman ◽  
Small Breast

Microwave imaging (MI) has been considered as an alternative way to X-ray mammography for breast cancer detection. This paper presents a compressive sensing based holographic microwave imaging (CS-HMI) approach for diagnosing of breast cancer. A numerical imaging system is developed to validate the proposed CS-HMI approach, which includes a realistic human breast phantom and measurement model. Small breast tumour can be detected in the reconstructed CS-HMI image via Split Bregman (SB) with using 10% measurement data. Simulation and experimental results show that CS-HMI has the ability to produce high quality image by using significantly less measurement data and operation time.

Multilayered metamaterials array antenna based on artificial magnetic conductor's structure for the application diagnostic breast cancer detection with microwave imaging

2022 ◽  
Vol 99 ◽  
pp. 103737
Author(s):  
Fatima-ezzahra Zerrad ◽  
Mohamed Taouzari ◽  
El Mostafa Makroum ◽  
Jamal El aoufi ◽  
Mohammad Tarikul Islam ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Microwave Imaging ◽  
Breast Cancer Detection ◽  
Array Antenna

scholarly journals Review of Microwaves Techniques for Breast Cancer Detection

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2390 ◽  
Author(s):  
Maged A. Aldhaeebi ◽  
Khawla Alzoubi ◽  
Thamer S. Almoneef ◽  
Saeed M. Bamatraf ◽  
Hussein Attia ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Cost Effective ◽  
Breast Tumour ◽  
Microwave Imaging ◽  
Breast Cancer Detection ◽  
Alternative Methods ◽  
Breast Cancer Imaging ◽  
Detection Techniques ◽  
Microwave Techniques

Conventional breast cancer detection techniques including X-ray mammography, magnetic resonance imaging, and ultrasound scanning suffer from shortcomings such as excessive cost, harmful radiation, and inconveniences to the patients. These challenges motivated researchers to investigate alternative methods including the use of microwaves. This article focuses on reviewing the background of microwave techniques for breast tumour detection. In particular, this study reviews the recent advancements in active microwave imaging, namely microwave tomography and radar-based techniques. The main objective of this paper is to provide researchers and physicians with an overview of the principles, techniques, and fundamental challenges associated with microwave imaging for breast cancer detection. Furthermore, this study aims to shed light on the fact that until today, there are very few commercially available and cost-effective microwave-based systems for breast cancer imaging or detection. This conclusion is not intended to imply the inefficacy of microwaves for breast cancer detection, but rather to encourage a healthy debate on why a commercially available system has yet to be made available despite almost 30 years of intensive research.

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