Intelligent Dynamic Modeling and Adaptive Optimization for Non-Invasive Microwave Hyperthermia Systems

Mengqing Sun

doi:10.47297/taposatWSP2633-456913.20250612

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Intelligent Dynamic Modeling and Adaptive Optimization for Non-Invasive Microwave Hyperthermia Systems

Volume 6, Issue 12

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Intelligent Dynamic Modeling and Adaptive Optimization for Non-Invasive Microwave Hyperthermia Systems
Intelligent Dynamic Modeling and Adaptive Optimization for Non-Invasive Microwave Hyperthermia Systems
University of Shanghai for Science and Technology, Shanghai, 200093, China
Vol. 6, Issue 12, Pages: 61-66(2025)
Published：30 December 2025
DOI：10.47297/taposatWSP2633-456913.20250612
Accepted：

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Sun Mengqing.Intelligent Dynamic Modeling and Adaptive Optimization for Non-Invasive Microwave Hyperthermia Systems[J].Theory and Practice of Science and Technology,2025,06(12):61-66.
DOI：

Sun Mengqing.Intelligent Dynamic Modeling and Adaptive Optimization for Non-Invasive Microwave Hyperthermia Systems[J].Theory and Practice of Science and Technology,2025,06(12):61-66. DOI： 10.47297/taposatWSP2633-456913.20250612.

摘要

Abstract

Microwave hyperthermia is an emerging non-invasive therapeutic modality for cancer treatment that relies on controlled heating of tumor tissue. Accurate prediction of internal temperature is critical to ensure therapeutic efficacy while avoiding damage to surrounding healthy tissues. This paper proposes a hybrid system identification framework that integrates the Sooty Tern Optimization Algorithm (STOA) with a Forgetting Factor Recursive Least Squares (FFRLS) algorithm to estimate the internal temperature of microwave-heated tissues based on surface temperature measurements. A linear-in-parameters model is developed to capture the dynamic thermal behavior of tissue heating and heat conduction. The STOA is employed to perform global exploration of the parameter space and effectively mitigate premature convergence to local optima

while the FFRLS algorithm provides online refinement and real-time adaptive updating of model parameters. Experimental results demonstrate that the proposed STOA-FFRLS method significantly outperforms the conventional RLS approach in terms of estimation accuracy and numerical stability

yielding substantially reduced modeling errors and residual fluctuations. The validated model facilitates the development of a non-invasive

high-precision thermal monitoring framework for safe and effective microwave hyperthermia treatment.

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references

Nguyen PT, Abbosh A, Crozier S. Three-dimensional microwave hyperthermia for breast cancer treatment in a realistic environment using particle swarm optimization. IEEE Trans Biomed Eng. 2017; 64(6):1335-1344.

Xi Z, et al. A preclinical system prototype and experimental validation of focused microwave brain hyperthermia. IEEE Trans Microw Theory Techn. 2025; 73(2):1147-1157.

Amin B, et al. Dielectric characterisation of human adrenal glands and adrenal tumours for the development of microwave ablation technologies for hypertension treatment. Sci Rep. 2024; 14:19451.

Duque J, Díaz I, Araque J. Thermal validation of a novel antenna design for superficial microwave hyperthermia. In: Proc IEEE 1st Latin Amer Conf Antennas Propag (LACAP). Cartagena de Indias, Colombia. 2024:1-2.

Lestini F, DiCarlofelice A, Tognolatti P, Marrocco G, Occhiuzzi C. Experimental assessment of a smart skin for temperature monitoring during superficial microwave hyperthermia. IEEE J Electromagn RF Microw Med Biol. 2024.

Ma M-L, et al. A non-invasive tumor hyperthermia method based on microwave field shaping. In: Proc Int Conf Microw Millim Wave Technol (ICMMT). Harbin, China. 2022:1-3.

Duguet E. The effect of the incremental R&D tax credit on the private funding of R&D: an econometric evaluation on french firm level data [J]. Working Papers, 2012(03):405-435. Gonçalves MCT, Porter E, Conceição RC. Preliminary study of the mechanical properties of biological tissue during microwave hyperthermia. In: Proc 19th Eur Conf Antennas Propag (EuCAP). Stockholm, Sweden. 2025:1-5.

Gaffoglio R, Giordanengo G, Righero M, Zucchi M, Firuzalizadeh M, et al. Real-time 3D temperature reconstruction in microwave cancer hyperthermia from scarce temperature measurements. Nat Commun. 2025;16(1):4824.

Dhiman G, Kaur A. STOA: a bio-inspired optimization algorithm for industrial engineering problems. Engineering Applications of Artificial Intelligence. 2019;82:148-174.

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