Title page for ETD etd-09252012-132326

Type of Document Dissertation
Author Hong, Sun
URN etd-09252012-132326
Title Resonance-Based Techniques for Microwave Breast Cancer Applications
Degree PhD
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
Davis, William A. Committee Chair
Adjerid, Slimane Committee Member
Pratt, Timothy J. Committee Member
Safaai-Jazi, Ahmad Committee Member
Stutzman, Warren L. Committee Member
  • natural resonance
  • breast cancer
  • microwave hyperthermia
  • residue
  • singularity expansion method
  • pole
  • ground penetrating radar
Date of Defense 2012-09-12
Availability unrestricted

It is well known that a finite-size scatterer has a set of natural resonances, which are uniquely determined by the physical properties of the scatterer. This is also the case for a breast tumor which can be regarded as a dielectric scatterer. Since the scatterer is naturally “tuned” at the resonances, it is expected that an increased electromagnetic coupling would take place at the resonance frequencies compared to other frequencies. For a breast tumor, this would mean a higher power absorption, indicating a faster temperature increase resulting in more efficient hyperthermia.

In this dissertation, an adaptive microwave concept is demonstrated for breast cancer applications. The general approach is to detect and identify the tumor-specific resonance, determine the electrical location of the tumor, and apply the focused microwave hyperthermia using the identified resonance and the electrical location. The natural resonances vary depending on the tumor size, shape, and breast tissue configuration. Therefore, an adaptive tuning of the microwave source to tumor-specific resonance frequencies could improve the overall efficiency of hyperthermia treatment by allowing for a faster and more effective heating to achieve a desired therapeutic temperature level.

Applying the singularity expansion method (SEM), both the resonances and the electrical location can be obtained from the poles and residues, respectively. This SEM-based approach is computationally inexpensive and can easily be implemented as a combination processing into emerging UWB microwave systems. Alternatively, a relatively simple microwave system based on this concept can potentially be used in conjunction with existing mammography.

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