Self-calibration algorithms for microwave hyperthermia antenna arrays

Zanoli, Massimiliano; Trefná, Hana Dobšíček

doi:10.1049/cp.2018.0933

Cited by 1 publication

(2 citation statements)

References 5 publications

(6 reference statements)

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“…Raskmark et al proposed an algorithm that uses the scattering matrix (S-matrix) to describe multi-channel RF systems and correct system errors [ 56 , 59 ]. More recently, the self-calibration technique was introduced into hyperthermia antenna arrays to compensate for disturbances and patient mismatches in real-time [ 30 ]. The self-calibration algorithms rely on the S-matrix measurements of an antenna array.…”

Section: Discussionmentioning

confidence: 99%

“…Factors that could potentially impede the quality of RF-induced hyperthermia include unbalanced RF power amplifiers, antenna mismatches, inaccuracies in cable lengths, antenna location offsets, and phase errors in the RF chain. These factors usually cannot be modeled during treatment planning but can be compensated with calibration algorithms or corrected using a feedback control loop [ 30 , 31 ]. These approaches require the accurate measurement of the power level and phase of the RF signals connected to the RF applicator.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Channel RF Supervision Module for Thermal Magnetic Resonance Based Cancer Therapy

Han

Oberacker

Kuehne³

et al. 2021

Cancers

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Glioblastoma multiforme (GBM) is the most lethal and common brain tumor. Combining hyperthermia with chemotherapy and/or radiotherapy improves the survival of GBM patients. Thermal magnetic resonance (ThermalMR) is a hyperthermia variant that exploits radio frequency (RF)-induced heating to examine the role of temperature in biological systems and disease. The RF signals’ power and phase need to be supervised to manage the formation of the energy focal point, accurate thermal dose control, and safety. Patient position during treatment also needs to be monitored to ensure the efficacy of the treatment and avoid damages to healthy tissue. This work reports on a multi-channel RF signal supervision module that is capable of monitoring and regulating RF signals and detecting patient motion. System characterization was performed for a broad range of frequencies. Monte-Carlo simulations were performed to examine the impact of power and phase errors on hyperthermia performance. The supervision module’s utility was demonstrated in characterizing RF power amplifiers and being a key part of a feedback control loop regulating RF signals in heating experiments. Electromagnetic field simulations were conducted to calculate the impact of patient displacement during treatment. The supervision module was experimentally tested for detecting patient motion to a submillimeter level. To conclude, this work presents a cost-effective RF supervision module that is a key component for a hyperthermia hardware system and forms a technological basis for future ThermalMR applications.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%