Broadband lung dielectric properties over the ablative temperature range: Experimental measurements and parametric models.
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| Title: | Broadband lung dielectric properties over the ablative temperature range: Experimental measurements and parametric models. |
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| Authors: | Sebek, Jan1,2 (AUTHOR), Bortel, Radoslav2 (AUTHOR), Prakash, Punit1 (AUTHOR) prakashp@ksu.edu |
| Source: | Medical Physics. Oct2019, Vol. 46 Issue 10, p4291-4303. 13p. |
| Subjects: | Dielectric properties, Parametric modeling, Permittivity, Standard deviations, Lungs |
| Abstract: | 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. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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