A Shape-Based Inversion Algorithm Applied to Microwave Imaging of Breast Tumors

2011 ◽  
Vol 59 (10) ◽  
pp. 3719-3729 ◽  
Author(s):  
Reza Firoozabadi ◽  
Eric L. Miller
2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Claudio Estatico ◽  
Matteo Pastorino ◽  
Andrea Randazzo

A microwave imaging method previously developed for tomographic inspection of dielectric targets is extended to three-dimensional objects. The approach is based on the full vector equations of the electromagnetic inverse scattering problem. The ill-posedness of the problem is faced by the application of an inexact-Newton method. Preliminary reconstruction results are reported.


2020 ◽  
Vol 68 (12) ◽  
pp. 8091-8103 ◽  
Author(s):  
Claudio Estatico ◽  
Alessandro Fedeli ◽  
Matteo Pastorino ◽  
Andrea Randazzo ◽  
Emanuele Tavanti

2021 ◽  
Vol 12 (1) ◽  
pp. 147
Author(s):  
Avez Syed ◽  
Nebras Sobahi ◽  
Muntasir Sheikh ◽  
Raj Mittra ◽  
Hatem Rmili

In this paper, an effective system for microwave imaging of breast tumor detection using modified 16-planar log periodic antenna (PLPA) array is presented. The modified PLPA operates in the band from 2 to 5 GHz with stable directional patterns in the end-fire direction. Once the results of a single antenna element have been validated, the design is extended to include 16 antenna elements. All 16 transceiver antennas are vertically placed around the phantom in a circular manner where one antenna acts as a transmitter and the rest work as receivers. Delay and Sum (DAS) algorithm is used for post processing the acquired scattered signals from the sensors to reconstruct the image of the breast and to identify the existence of breast tumors. The electromagnetic simulators CST and HFSS are used to design the system, while MATLAB is used to process the data. The developed PLPA array-based microwave imaging system performs admirably, making it one of the most effective systems for detecting tumor cells.


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