Performance Evaluation and Improved Permittivity Estimation for a Transmission-based Microwave Imaging System
Date
2019-09-19
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Abstract
Medical microwave imaging, especially breast imaging, is one of the interesting applications of microwave imaging. This imaging technique has potential as a new breast imaging modality as it is low-power, not expensive, and doesn't require tissue compression and inconvenience. Several microwave breast imaging techniques have been introduced and show both promise and limitations. The system of interest in this thesis, the transmission system, appears to have the ability to overcome some of those limitations. Although the transmission system doesn't generate high quality images, it shows reasonable estimation of the average permittivity of the scanned tissue. Phantom and human scans using this system show potential, leading to further investigation. In this thesis, the performance of the transmission system is evaluated in terms of accuracy and resolution. Then one of the biggest challenges in image reconstruction, which is multipath, is investigated. The information extracted from multipath is used to improve the average permittivity estimation and form cross-sectional maps. The proposed methods are also tested on volunteer data and show reasonable results in terms of consistency and tracking changes. Finally, an improved denoising algorithm is proposed to reduce the background noise of the reflected signals in order to prepare them for average permittivity estimation.
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Peak Fitting
Citation
Owjimehr, M. (2019). Performance Evaluation and Improved Permittivity Estimation for a Transmission-based Microwave Imaging System (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.