Broadband lung dielectric properties over the ablative temperature range: Experimental measurements and parametric models
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články
Grantová podpora
R01 CA218357
NCI NIH HHS - United States
CZ.02.2.69/0.0/0.0/16_027/0008465
Czech Technical University
R01 CA218357
NIH HHS - United States
SGS17/183/OHK3/3T/13
Czech Technical University
PubMed
31286530
PubMed Central
PMC6893909
DOI
10.1002/mp.13704
Knihovny.cz E-zdroje
- Klíčová slova
- lung ablation, lung dielectric properties, microwave ablation, temperature dependence,
- MeSH
- ablace * MeSH
- biologické modely * MeSH
- elektrická impedance MeSH
- mikrovlny MeSH
- nejistota MeSH
- plíce cytologie účinky záření MeSH
- prasata MeSH
- skot MeSH
- teplota * MeSH
- zvířata MeSH
- Check Tag
- skot MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
PURPOSE: Computational models of microwave tissue ablation are widely used to guide the development of ablation devices, and are increasingly being used for the development of treatment planning and monitoring platforms. Knowledge of temperature-dependent dielectric properties of lung tissue is essential for accurate modeling of microwave ablation (MWA) of the lung. METHODS: We employed the open-ended coaxial probe method, coupled with a custom tissue heating apparatus, to measure dielectric properties of ex vivo porcine and bovine lung tissue at temperatures ranging between 31 and 150 ∘ C, over the frequency range 500 MHz to 6 GHz. Furthermore, we employed numerical optimization techniques to provide parametric models for characterizing the broadband temperature-dependent dielectric properties of tissue, and their variability across tissue samples, suitable for use in computational models of microwave tissue ablation. RESULTS: Rapid decreases in both relative permittivity and effective conductivity were observed in the temperature range from 94 to 108 ∘ C. Over the measured frequency range, both relative permittivity and effective conductivity were suitably modeled by piecewise linear functions [root mean square error (RMSE) = 1.0952 for permittivity and 0.0650 S/m for conductivity]. Detailed characterization of the variability in lung tissue properties was provided to enable uncertainty quantification of models of MWA. CONCLUSIONS: The reported dielectric properties of lung tissue, and parametric models which also capture their distribution, will aid the development of computational models of microwave lung ablation.
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