A Microwave Imaging Model for Biomedical Applications

Date

2017-07-14

Author

ÖZGÜN, ÖZLEM
Kuzuoğlu, Mustafa

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

175
views

0
downloads

A microwave imaging model is presented for detection of breast cancer tissues by combining the finite element method and the transformation electromagnetics approach. An inverse scattering problem is formulated based on genetic optimization algorithm, and its expensive cost function evaluations are accelerated by using the transformation electromagnetics approach, which allows using a uniform or rectangular mesh even when irregular geometries are present inside the domain. Simulation results are demonstrated to measure the performance of the model.

Subject Keywords

Microwave imaging, Inverse scattering, Finite element method, Transformation electromagnetics, Breast cancer detection, Genetic optimization

URI

https://hdl.handle.net/11511/54772

Conference Name

International Symposium of IEEE-Antennas-and-Propagation-Society / USNC/URSI National Radio Science Meeting

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Coordinate transformation aided finite element method for contour detection of breast tumors in microwave imaging ÖZGÜN, ÖZLEM; Kuzuoğlu, Mustafa (2018-10-01) A coordinate transformation based finite element method is presented for detecting contours of breast cancer tissues in the context of microwave imaging. The geometry and location of a single or multiple cancerous tumors inside a breast tissue are identified by constructing an inverse problem based on the genetic optimization algorithm. The expensive forward solution phase during repeated cost function evaluations is accelerated by placing a transformation medium inside the finite element mesh. This allows ...
An Improved Receiver for Harmonic Motion Microwave Doppler Imaging Soydan, Damla Alptekin; Irgin, Umit; Top, Can Baris; Gençer, Nevzat Güneri (2020-03-01) © 2020 EurAAP.Harmonic motion microwave Doppler imaging is a novel imaging modality that combines focused ultrasound and radar techniques to obtain data based on mechanical and electrical properties of the tissue. In previous experimental studies, the Doppler component of the scattered signal is sensed and used to create 2D images of a tumor inside a homogeneous fat phantom. Due to the drawbacks of the receiver configuration, scanning time was high, the signal-to-noise ratio was low, and the multi-frequency...
A Transformation Media Based Approach for Efficient Monte Carlo Analysis of Scattering From Rough Surfaces With Objects Ozgun, Ozlem; Kuzuoğlu, Mustafa (2013-03-01) This paper presents a computational model that utilizes transformation-based metamaterials to enhance the performance of numerical modeling methods for achieving the statistical characterization of two-dimensional electromagnetic scattering from objects on or above one-dimensional rough sea surfaces. Monte Carlo simulation of the rough surface scattering problem by means of differential equation-based finite methods (such as finite element or finite difference methods) usually places a heavy burden on compu...
A Numerical Model for Investigating the Effect of Rough Surface Parameters on Radar Cross Section Statistics Kuzuoğlu, Mustafa (2017-07-14) Electromagnetic scattering from rough surfaces is modeled by combining the periodic finite element method and the transformation electromagnetics approach. The behavior of the radar cross section (RCS) at both specular and backscattering directions is analyzed as a function of rms height and correlation length with the help of Monte Carlo simulations. The concept of backscattering enhancement is illustrated, and some conclusions are drawn about the RCS statistics.
Data Acquisition System for Harmonic Motion Microwave Doppler Imaging Tafreshi, Azadeh Kamali; Karadas, Muersel; Top, Can Baris; Gençer, Nevzat Güneri (2014-08-30) Harmonic Motion Microwave Doppler Imaging (HMMDI) is a hybrid method proposed for breast tumor detection, which images the coupled dielectric and elastic properties of the tissue. In this paper, the performance of a data acquisition system for HMMDI method is evaluated on breast phantom materials. A breast fat phantom including fibro-glandular and tumor phantom regions is produced. The phantom is excited using a focused ultrasound probe and a microwave transmitter. The received microwave signal level is mea...

Citation Formats

Ö. ÖZGÜN and M. Kuzuoğlu, “A Microwave Imaging Model for Biomedical Applications,” presented at the International Symposium of IEEE-Antennas-and-Propagation-Society / USNC/URSI National Radio Science Meeting, San Diego, CA, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54772.