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Summary

This study introduces the Alternating Projections Algorithm (APA) as a faster, deterministic method for optimizing microwave hyperthermia. The APA improves tumor targeting and reduces hotspots in healthy tissue compared to traditional methods.

Keywords:
alternating projections algorithm (APA)microwave hyperthermia (HT)particle swarm optimization (PSO)specific absorption rate (SAR)

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Area of Science:

  • Medical Physics
  • Electromagnetics
  • Oncology

Background:

  • Microwave hyperthermia uses antenna applicators to heat tumors to 40-44 °C as an adjunctive cancer therapy.
  • Optimizing antenna feeding coefficients is critical for maximizing tumor energy deposition (SAR) and minimizing healthy tissue heating.
  • Current optimization methods often rely on computationally intensive meta-heuristic algorithms like particle swarm optimization (PSO).

Purpose of the Study:

  • To present the Alternating Projections Algorithm (APA) as a deterministic alternative to PSO for SAR-based optimization in microwave hyperthermia.
  • To introduce an adaptive power threshold search mechanism to manage power levels and quantify excess deposition in healthy tissues.
  • To evaluate the effectiveness of APA in achieving precise SAR distribution for deep-seated tumors, particularly in complex anatomical regions.

Main Methods:

  • The Alternating Projections Algorithm (APA) was employed, iteratively projecting electric field distributions onto constraint sets to shape power deposition.
  • A predefined mask guided the APA to focus SAR within the tumor while suppressing deposition in surrounding healthy tissues.
  • An adaptive power threshold search, utilizing a quality parameter for excess power in healthy tissues, was implemented for power level selection.

Main Results:

  • Validation on a simplified numerical testbed and a realistic anatomical phantom demonstrated the APA's efficacy.
  • The APA achieved tumor targeting comparable to PSO.
  • The APA significantly improved the suppression of hotspots in healthy tissues compared to PSO.

Conclusions:

  • The proposed APA framework provides a fast, effective, and deterministic approach for SAR-based optimization in microwave hyperthermia.
  • APA enhances tumor targeting accuracy and significantly reduces unwanted heating of healthy tissues.
  • This method offers a promising alternative to meta-heuristic algorithms for clinical applications of microwave hyperthermia.