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International Journal of Biomedical Imaging
Volume 2013 (2013), Article ID 343180, 14 pages
http://dx.doi.org/10.1155/2013/343180
Research Article

Antenna Modeling and Reconstruction Accuracy of Time Domain-Based Image Reconstruction in Microwave Tomography

1Biomedical Engineering Division, Department of Signal and Systems, Chalmers University of Technology, 41296 Gothenburg, Sweden
2Curtin Institute of Radio Astronomy (CIRA), ICRAR, Curtin University, Perth, WA 6102, Australia
3PRL, Research School of Physics and Engineering, Australian National University, Canberra, ACT 0200, Australia

Received 18 September 2012; Revised 13 January 2013; Accepted 21 January 2013

Academic Editor: Kenji Suzuki

Copyright © 2013 Andreas Fhager et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Nonlinear microwave imaging heavily relies on an accurate numerical electromagnetic model of the antenna system. The model is used to simulate scattering data that is compared to its measured counterpart in order to reconstruct the image. In this paper an antenna system immersed in water is used to image different canonical objects in order to investigate the implication of modeling errors on the final reconstruction using a time domain-based iterative inverse reconstruction algorithm and three-dimensional FDTD modeling. With the test objects immersed in a background of air and tap water, respectively, we have studied the impact of antenna modeling errors, errors in the modeling of the background media, and made a comparison with a two-dimensional version of the algorithm. In conclusion even small modeling errors in the antennas can significantly alter the reconstructed image. Since the image reconstruction procedure is highly nonlinear general conclusions are very difficult to make. In our case it means that with the antenna system immersed in water and using our present FDTD-based electromagnetic model the imaging results are improved if refraining from modeling the water-wall-air interface and instead just use a homogeneous background of water in the model.