A temperature-based feedback control system for electromagnetic phased-array hyperthermia: theory and simulation

Area of Science:

• Biomedical Engineering
• Medical Physics
• Control Systems

Background:

• Electromagnetic deep regional hyperthermia is a cancer treatment modality.
• Effective temperature control is crucial for optimizing hyperthermia efficacy and minimizing side effects.
• Current control methods often rely on specific absorption rate (SAR) or iterative approximations, limiting real-time adaptability.

Purpose of the Study:

• To propose a novel hybrid feedback control system for electromagnetic deep regional hyperthermia.
• To utilize temperature as the primary optimization criterion, enhancing clinical relevance.
• To ensure deterministic, real-time computational performance for practical implementation.

Main Methods:

• Development of a hybrid proportional-integral-in-time and cost-minimizing-in-space control algorithm.
• Utilizing temperature feedback to adjust electromagnetic phased-array parameters (phase and amplitude).
• Implementing deterministic on-line computations for real-time feedback loop feasibility.

Main Results:

• The controller optimizes hyperthermia treatment based on direct temperature measurements.
• It effectively senses and compensates for dynamic changes in local blood perfusion rates.
• Demonstrated capability to adapt treatment in response to time- and temperature-dependent physiological variations.

Conclusions:

• The proposed control system offers a clinically relevant and adaptable approach to electromagnetic hyperthermia.
• Deterministic on-line computation enables real-time feedback control, surpassing limitations of iterative methods.
• This system enhances treatment quality by actively responding to physiological changes during hyperthermia therapy.