Acceleration of microwave imaging algorithms for breast cancer detection via High-Level Synthesis

2015 ◽  
Author(s):  
Daniele Jahier Pagliari ◽  
Mario R. Casu ◽  
Luca P. Cartoni
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Microwave Imaging ◽  
Breast Cancer Detection ◽  
High Level Synthesis ◽  
High Level ◽  
Imaging Algorithms

Mono Pulse Confocal Microwave Imaging in Breast Cancer Detection

2013 ◽  
Vol 748 ◽  
pp. 525-530
Author(s):  
Jin Zu Ji ◽  
Jing Li
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Fdtd Method ◽  
Microwave Imaging ◽  
Breast Cancer Detection ◽  
Assigned Value ◽  
The Difference ◽  
Imaging Algorithms ◽  
Backscattered Signals ◽  
Confocal Microwave Imaging

Mono pulse algorithm for confocal microwave imaging (CMI) for breast cancer detection is presented in this paper. All the antennas are used as receiver but only one is also used as transmitter. The transmitted signal is emitted for only once, thus the gross electromagnetic wave energy to the breast is reduced and the diagnosis time can be saved. Two confocal microwave imaging algorithms are presented in this paper: delay-sum-max and delay-production-sum. Both algorithms use the same delayed backscattered signals as the convectional CMI. The difference is how to use the delayed signals to form the image of the scattering intensity. Delay-sum-max method adds the signal together to generate the different value in confocal point via coherent and incoherent addition. Delay-production-sum algorithm products the delayed signal so as to make the assigned value in the confocal point outside the tumor is nearly zero. The image results can be compliment for more confirm diagnosis. Finite-difference time-domain (FDTD) method is used for simulation on 3 models of different tumor arrangements. The results show both methods are effective in detecting single-tumor, while there are some limitations in dealing with multi-tumor.

scholarly journals Microwave Imaging of the Breast

2005 ◽  
Vol 4 (1) ◽  
pp. 69-82 ◽  
Author(s):  
Elise C. Fear
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Breast Imaging ◽  
Electromagnetic Property ◽  
Microwave Imaging ◽  
Breast Cancer Detection ◽  
Medical Applications ◽  
Computational Power ◽  
Recent Developments ◽  
Imaging Algorithms

Microwave imaging for medical applications has been of interest for many years. Recently, microwave imaging for breast cancer detection has gained attention due to advances in imaging algorithms, microwave hardware and computational power. The breast is relatively translucent to microwaves, accessible for imaging, and there appears to be a significant electromagnetic property contrast between tumors and healthy tissues. Therefore, breast imaging may be the first clinically viable application of microwave imaging. This paper reviews recent developments in passive, hybrid, and active approaches to microwave 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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