Abstract
Bio-medical imaging is a measure to diagnose diseases, such as breast cancer and brain stroke. There are already some mature methods to reconstruct images of human tissues, such as ultrasonic imaging, X-ray imaging and MRI. As human tissues can be regarded as dispersion dielectrics, this article presents the inverse scattering imaging, which can reconstruct the distribution of complex relative permittivity of human tissues. The algorithm used in this article is distorted Born iterative method.
Original language | English |
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Title of host publication | 2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781538671115 |
DOIs | |
Publication status | Published - Mar 2019 |
Externally published | Yes |
Event | 5th IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Shanghai, China Duration: 20 Mar 2019 → 22 Mar 2019 |
Publication series
Name | 2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings |
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Conference
Conference | 5th IEEE International Conference on Computational Electromagnetics, ICCEM 2019 |
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Country/Territory | China |
City | Shanghai |
Period | 20/03/19 → 22/03/19 |
Keywords
- DBIM
- bio-medical imaging
- dispersion dielectric
- human tissues
- inverse scattering imaging
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Liu, H., & Ye, X. (2019). Reconstruction of Dielectric Pamameters of Human Tissues Using Distorted Born Iterative Method. In 2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings Article 8778947 (2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/COMPEM.2019.8778947