Antenna Modeling and Reconstruction Accuracy of Time Domain-Based Image Reconstruction in Microwave Tomography
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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2013/343180 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850216535607476224 |
|---|---|
| author | Andreas Fhager Shantanu K. Padhi Mikael Persson John Howard |
| author_facet | Andreas Fhager Shantanu K. Padhi Mikael Persson John Howard |
| author_sort | Andreas Fhager |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-3c2ac09b97694e0980386ea2f174fc4b |
| institution | OA Journals |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-3c2ac09b97694e0980386ea2f174fc4b2025-08-20T02:08:16ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962013-01-01201310.1155/2013/343180343180Antenna Modeling and Reconstruction Accuracy of Time Domain-Based Image Reconstruction in Microwave TomographyAndreas Fhager0Shantanu K. Padhi1Mikael Persson2John Howard3Biomedical Engineering Division, Department of Signal and Systems, Chalmers University of Technology, 41296 Gothenburg, SwedenCurtin Institute of Radio Astronomy (CIRA), ICRAR, Curtin University, Perth, WA 6102, AustraliaBiomedical Engineering Division, Department of Signal and Systems, Chalmers University of Technology, 41296 Gothenburg, SwedenPRL, Research School of Physics and Engineering, Australian National University, Canberra, ACT 0200, AustraliaNonlinear 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.http://dx.doi.org/10.1155/2013/343180 |
| spellingShingle | Andreas Fhager Shantanu K. Padhi Mikael Persson John Howard Antenna Modeling and Reconstruction Accuracy of Time Domain-Based Image Reconstruction in Microwave Tomography International Journal of Biomedical Imaging |
| title | Antenna Modeling and Reconstruction Accuracy of Time Domain-Based Image Reconstruction in Microwave Tomography |
| title_full | Antenna Modeling and Reconstruction Accuracy of Time Domain-Based Image Reconstruction in Microwave Tomography |
| title_fullStr | Antenna Modeling and Reconstruction Accuracy of Time Domain-Based Image Reconstruction in Microwave Tomography |
| title_full_unstemmed | Antenna Modeling and Reconstruction Accuracy of Time Domain-Based Image Reconstruction in Microwave Tomography |
| title_short | Antenna Modeling and Reconstruction Accuracy of Time Domain-Based Image Reconstruction in Microwave Tomography |
| title_sort | antenna modeling and reconstruction accuracy of time domain based image reconstruction in microwave tomography |
| url | http://dx.doi.org/10.1155/2013/343180 |
| work_keys_str_mv | AT andreasfhager antennamodelingandreconstructionaccuracyoftimedomainbasedimagereconstructioninmicrowavetomography AT shantanukpadhi antennamodelingandreconstructionaccuracyoftimedomainbasedimagereconstructioninmicrowavetomography AT mikaelpersson antennamodelingandreconstructionaccuracyoftimedomainbasedimagereconstructioninmicrowavetomography AT johnhoward antennamodelingandreconstructionaccuracyoftimedomainbasedimagereconstructioninmicrowavetomography |