scholarly journals Ultra-Wide-Band Microstrip Patch Antenna Design for Breast Cancer Detection

2021 ◽  
Author(s):  
Adel AlOmairi ◽  
◽  
Doğu Çağdaş Atilla ◽  
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Patch Antenna ◽  
Wide Band ◽  
Microstrip Patch Antenna ◽  
Breast Cancer Detection ◽  
Antenna Design ◽  
Ultra Wide Band ◽  
Microstrip Patch

scholarly journals Microstrip Patch Antenna Design for Early Breast Cancer Detection

2020 ◽  
Vol 8 (6) ◽  
pp. 2698-2705
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
Cancer Detection ◽  
Patch Antenna ◽  
Microstrip Patch Antenna ◽  
Breast Cancer Detection ◽  
Antenna Design ◽  
Patch Antennas ◽  
Microstrip Patch Antennas ◽  
Microstrip Patch

Breast cancer is one of the leading causes of death among women all over the world. It is the abnormal growth of breast tissues in multistage process. As the stage increases, the chances of treatment and probability of survival of patient decreases. Hence, early detection and diagnosis of breast cancer is must. Microwave imaging technique for early detection of breast cancer is a promising technique to detect tumor and it also have several advantages over other existing techniques for breast cancer detection, such as Breast Self-Examination (BSE), Clinical Breast Examination (CBE), Breast Ultrasound, Computerized Tomography (CT), Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), Mammography and other breast screening methods. One of them is non-ionizing radiations. Other advantages include portability, inexpensive system and safe for human body. Microwave imaging employs microstrip patch antenna as its integral part, for transmitting and receiving microwaves. Microstrip patch antenna as name suggests is a low weight, smaller size antenna. Depending upon substrate material, microstrip patch antennas can be categorized as flexible and non-flexible antennas. Flexible microstrip patch antennas, mostly consisting of textile materials are becoming the preferred choice for most of the researchers. This paper presents recent trends in microstrip patch antenna design for early breast cancer detection and a comparison among them in terms of substrate, feeding techniques, Specific Absorption Rate (SAR), E and H field, Return Loss, Voltage Standing Wave Ratio (VSWR) and some other parameters.

scholarly journals A Microstrip Patch Antenna Design for Breast Cancer Detection

2015 ◽  
Vol 195 ◽  
pp. 2905-2911 ◽  
Author(s):  
Rabia Çalışkan ◽  
S. Sinan Gültekin ◽  
Dilek Uzer ◽  
Özgür Dündar
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Patch Antenna ◽  
Microstrip Patch Antenna ◽  
Breast Cancer Detection ◽  
Antenna Design ◽  
Microstrip Patch

On-Body Microstrip Patch Antenna for Breast Cancer Detection

2021 ◽  
pp. 177-189
Author(s):  
Sourav Sinha ◽  
Sajidur Rahman ◽  
Mahajabin Haque Mili ◽  
Fahim Mahmud
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Patch Antenna ◽  
Microstrip Patch Antenna ◽  
Breast Cancer Detection ◽  
Microstrip Patch

scholarly journals A Rectangular Microstrip Patch Antenna for Ultra-Wide Band Application Using HFSS Software

2021 ◽  
Vol 1916 ◽  
pp. 012103
Author(s):  
Udayamoorthy Venkateshkumar ◽  
V Mega ◽  
P Rakshana ◽  
A Mukesh Kumar
Keyword(s):  
Patch Antenna ◽  
Wide Band ◽  
Microstrip Patch Antenna ◽  
Ultra Wide Band ◽  
Microstrip Patch ◽  
Rectangular Microstrip Patch Antenna

Breast cancer imaging and detection using microwave technique

2020 ◽  
Author(s):  
◽  
Ahmed Maher Abed
Keyword(s):  
Breast Cancer ◽  
Dielectric Properties ◽  
Cancer Detection ◽  
Wide Band ◽  
Breast Cancer Detection ◽  
Ultra Wide Band ◽  
Late Time ◽  
Simulation Tool ◽  
Esprit Algorithm ◽  
Microwave Breast Cancer Detection

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI-COLUMBIA AT REQUEST OF AUTHOR.] Worldwide, breast cancer continues to be the top cause of death among women and the second-leading cause of cancer death after lung cancer. Thus, it has become a great global concern. Years of research on both diagnostic and therapeutic breast cancer detection and imaging using microwave techniques has resulted in a variety of novel approaches and studies. These approaches and studies utilize numerical breast phantoms that model structural complexities, tissue heterogeneity, and dispersive dielectric properties. In this dissertation, a microwave breast cancer detection technique was investigated and Ultra-Wide Band (UWB) radar imaging was used. A UWB antenna was designed and modeled using CST Microwave Studio and was used for Ultra-Wide Band microwave breast cancer detection. A new calibration approach for microwave breast cancer detection was proposed to calibrate the signals before applying the beamforming algorithms. A simulation was also used to validate the proposed techniques. Two signal calibration approaches were proposed to remove the high magnitude clutter from the signals. The two approaches are based on the state-space method Autoregressive Moving Average (ARMA). The first approach is derived from Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT). This algorithm is referred to as the Pole Isolation via ESPRIT algorithm (PI-ESPRIT). The second approach is also derived from a previously proposed algorithm for microwave breast cancer detection. Th second calibration algorithm is referred to as the Modified Pole Removal algorithm. The Modified Pole Removal algorithm works to detect tumors, in contrast to the previously proposed algorithm (Pole Removal) that shows a lack of tumor detection. Three beamforming techniques were used to focus the signals onto the voxels through the breast phantom. Another beamforming algorithm was proposed, along with the Transmitting-Receiving Antenna Separation Distance (TRASD), which allows for the reduction of the late time clutter effect and improvement of the Signal to Clutter Ratio (SCR) when using the PI-ESPRIT algorithm. Using CST simulation tool, antennas arrayed around the breast are designed to simulate the transmitting/receiving signals. Numerical phantoms, with complicated structures and dispersive dielectric properties of breast tissue, have been developed with the CST simulation tool for simulating electromagnetic propagation. The received signals are imported into the MATLAB program to investigate the proposed approaches and compare them to conventional approaches. Overall, the results have shown improvement.

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