Microwave thermometry with potential application in non-invasive monitoring of hyperthermia
Journal article, 2020

Integration of an adaptive finite element method (AFEM) with a conventional least squares method has been presented. As a 3D full-wave forward solver, CST Microwave Studio has been used to model and extract both electric field distribution in the region of interest (ROI) and S-parameters of a circular array consisting of 16 monopole antennas. The data has then been fed into a differential inversion scheme to get a qualitative indicator of how the temperature distribution evolves over a course of the cooling process of a heated object. Different regularization techniques within the Tikhonov framework are also discussed, and a balancing principle for optimal choice of the regularization parameter was used to improve the image reconstruction quality of every 2D slice of the final image. Targets are successfully imaged via proposed numerical methods.

inverse scattering

microwave imaging

Thermal therapy

adaptive finite element method



Morteza Ghaderi Aram

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering

Larisa Beilina

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Hana Dobsicek Trefna

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering

Journal of Inverse and Ill-Posed Problems

0928-0219 (ISSN) 1569-3945 (eISSN)

Vol. 28 5 739-750

Subject Categories

Computational Mathematics



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4/6/2022 5