scholarly journals Metamaterial-Inspired Antenna Array for Application in Microwave Breast Imaging Systems for Tumor Detection

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 174667-174678 ◽  
Author(s):  
Mohammad Alibakhshikenari ◽  
Bal S. Virdee ◽  
Panchamkumar Shukla ◽  
Naser Ojaroudi Parchin ◽  
Leyre Azpilicueta ◽  
...  
Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4302 ◽  
Author(s):  
Amir Haider ◽  
MuhibUr Rahman ◽  
Mahdi Naghshvarianjahromi ◽  
Hyung Seok Kim

This paper investigates the time-domain performance of a switchable filter impulse radio ultra-wideband (IR-UWB) antenna for microwave breast imaging applications. A miniaturized CPW-fed integrated filter antenna with switchable performance in the range of the Worldwide Interoperability for Microwave Access (WiMAX) and Wireless Local Area Network (WLAN) bands could operate well within a 3.0 to 11 GHz frequency range. The time-domain performance of the filter antenna was investigated in comparison to that of the designed reference wideband antenna. By comparing both antennas’ time-domain characteristics, it was seen that the switchable filter antenna had good time-domain resolution along with the frequency-domain operation. Additionally, the time-domain investigation revealed that the switchable filter wide-band antenna performed similarly to the reference wide band antenna. This antenna was also utilized for a tumor detection application, and it was seen that the switchable filter wide-band antenna could detect a miniaturized irregularly shaped tumor easily, which is quite promising. Such an antenna with a good time-domain resolution and tumor detection capability will be a good candidate and will find potential applications in microwave breast imaging.


2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Mark Haynes ◽  
John Stang ◽  
Mahta Moghaddam

The increasing number of experimental microwave breast imaging systems and the need to properly model them have motivated our development of an integrated numerical characterization technique. We use Ansoft HFSS and a formalism we developed previously to numerically characterize anS-parameter- based breast imaging system and link it to an inverse scattering algorithm. We show successful reconstructions of simple test objects using synthetic and experimental data. We demonstrate the sensitivity of image reconstructions to knowledge of the background dielectric properties and show the limits of the current model.


2011 ◽  
Vol 58 (5) ◽  
pp. 1193-1199 ◽  
Author(s):  
T C Williams ◽  
J Bourqui ◽  
T R Cameron ◽  
M Okoniewski ◽  
E C Fear

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2951 ◽  
Author(s):  
Md. Mahmud ◽  
Mohammad Islam ◽  
Norbahiah Misran ◽  
Ali Almutairi ◽  
Mengu Cho

Globally, breast cancer is reported as a primary cause of death in women. More than 1.8 million new breast cancer cases are diagnosed every year. Because of the current limitations on clinical imaging, researchers are motivated to investigate complementary tools and alternatives to available techniques for detecting breast cancer in earlier stages. This article presents a review of concepts and electromagnetic techniques for microwave breast imaging. More specifically, this work reviews ultra-wideband (UWB) antenna sensors and their current applications in medical imaging, leading to breast imaging. We review the use of UWB sensor based microwave energy in various imaging applications for breast tumor related diseases, tumor detection, and breast tumor detection. In microwave imaging, the back-scattered signals radiating by sensors from a human body are analyzed for changes in the electrical properties of tissues. Tumorous cells exhibit higher dielectric constants because of their high water content. The goal of this article is to provide microwave researchers with in-depth information on electromagnetic techniques for microwave imaging sensors and describe recent developments in these techniques.


2000 ◽  
Author(s):  
Paul M. Meaney ◽  
Keith D. Paulsen ◽  
Margaret W. Fanning ◽  
Steven P. Poplack ◽  
Tor D. Tosteson ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document