Image enhancement with Gaussian filtering in time‐domain microwave imaging system for breast cancer detection

2016 ◽  
Vol 52 (5) ◽  
pp. 342-344 ◽  
Author(s):  
S. Kwon ◽  
H. Lee ◽  
S. Lee
Keyword(s):  
Breast Cancer ◽  
Image Enhancement ◽  
Cancer Detection ◽  
Time Domain ◽  
Imaging System ◽  
Microwave Imaging ◽  
Breast Cancer Detection ◽  
Gaussian Filtering

scholarly journals Recent Advances in Microwave Imaging for Breast Cancer Detection

2016 ◽  
Vol 2016 ◽  
pp. 1-26 ◽  
Author(s):  
Sollip Kwon ◽  
Seungjun Lee
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Time Domain ◽  
Breast Imaging ◽  
Imaging System ◽  
Microwave Imaging ◽  
Breast Cancer Detection ◽  
Promising Alternative ◽  
Recent Advances ◽  
Scan Time

Breast cancer is a disease that occurs most often in female cancer patients. Early detection can significantly reduce the mortality rate. Microwave breast imaging, which is noninvasive and harmless to human, offers a promising alternative method to mammography. This paper presents a review of recent advances in microwave imaging for breast cancer detection. We conclude by introducing new research on a microwave imaging system with time-domain measurement that achieves short measurement time and low system cost. In the time-domain measurement system, scan time would take less than 1 sec, and it does not require very expensive equipment such as VNA.

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.

scholarly journals An Ultra Wideband Microwave Imaging System for Breast Cancer Detection

2007 ◽  
Vol E90-B (9) ◽  
pp. 2376-2381 ◽  
Author(s):  
W. C. KHOR ◽  
M. E. BIALKOWSKI ◽  
A. ABBOSH ◽  
N. SEMAN ◽  
S. CROZIER
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Imaging System ◽  
Microwave Imaging ◽  
Breast Cancer Detection ◽  
Ultra Wideband

A low-cost, fast, and accurate microwave imaging system for breast cancer detection

2015 ◽  
Author(s):  
Daniele Jahier Pagliari ◽  
Azzurra Pulimeno ◽  
Marco Vacca ◽  
Jorge A. Tobon ◽  
Francesca Vipiana ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Imaging System ◽  
Low Cost ◽  
Microwave Imaging ◽  
Breast Cancer Detection

An Efficient Image Reconstruction Method for Breast Cancer Detection Using an Ultra-Wideband Microwave Imaging System

2016 ◽  
Vol 36 (4) ◽  
pp. 225-235 ◽  
Author(s):  
Sidi Mohammed Chouiti ◽  
Lotfi Merad ◽  
Sidi Mohammed Meriah ◽  
Xavier Raimundo ◽  
Abdelmalik Taleb-Ahmed
Keyword(s):  
Breast Cancer ◽  
Image Reconstruction ◽  
Cancer Detection ◽  
Imaging System ◽  
Microwave Imaging ◽  
Breast Cancer Detection ◽  
Ultra Wideband ◽  
Reconstruction Method ◽  
Image Reconstruction Method
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