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Microwave Imaging For In Vivo Medical Temperature Change Monitoring

Ali Kargar Khorramabadi | 2024

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 57954 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Shishegar, Amir Ahmad
  7. Abstract:
  8. This thesis investigates the capability of microwave imaging for monitoring tissue temperature during hyperthermia treatment for cancer. Hyperthermia is a complementary cancer therapy in which the temperature of the cancerous region is purposefully increased to enhance the effectiveness of primary treatments such as radiotherapy or chemotherapy. However, the unintentional heating of adjacent healthy tissues and the potential for damage pose significant challenges to the practical application of this method. Consequently, the development of methods for precise and continuous monitoring of tissue temperature during treatment is of critical importance. In this study, microwave tomography is explored as a novel and promising method for temperature monitoring. Due to the high penetration depth of microwave signals in biological tissues and their ability to provide images with reasonable resolution, this technique is considered an attractive option. However, implementing this method requires solving the inverse scattering equation, which presents considerable challenges due to numerical complexity and sensitivity to noise. This thesis proposes several methods to enhance the solution of the inverse scattering equation and achieve accurate reconstruction of temperature changes. These methods include the Differential DBIM algorithm, which reduces dependence on prior information, regularization based on temperature continuity to incorporate physical constraints, Gaussian function-based temperature approximation for computational simplification, and sparsity-based regularization to exploit the sparse structure of temperature variations. For evaluation purposes, scattered fields at antenna locations were computed using numerical phantoms and the two-dimensional Method of Moments (MoM), followed by the extraction of temperature changes. The numerical simulation results demonstrate that the differential algorithm combined with continuity-based regularization can accurately reconstruct temperature changes of 1℃ with a precision of approximately 0.2℃ in the absence of prior information, even under a signal-to-noise ratio (SNR) of 40 dB at the antennas
  9. Keywords:
  10. Microwave Imaging ; Inverse Scattering ; Hyperthermia Method ; Tissue Temperature Monitoring ; Hyperthermia Treatment ; Cancer Treatment

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