Accurate and Numerically Stable FDTD Modeling of Human Skin Tissues in THz Band

We propose finite-difference time-domain (FDTD) modeling suitable for healthy skin, basal cell carcinoma, dysplastic pigmentary nevus, and non-dysplastic pigmentary nevus in the frequency range of 0.25 THz to 1.05 THz. Toward this purpose, we utilize the complex-conjugate pole-residue (CCPR) dispers...

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Bibliographic Details
Published in:IEEE access 2022, Vol.10, p.41260-41266
Main Authors: Park, Jaesun, Baek, Jae-Woo, Jung, Kyung-Young
Format: Article
Language:English
Subjects:
Algorithms
Coefficients
Dispersion
Dispersion model
dispersive media
Finite difference methods
Finite difference time domain method
finite-difference time-domain (FDTD) method
Frequency ranges
human skin tissues
Mathematical models
Numerical models
Numerical stability
Particle swarm optimization
Skin
Skin cancer
Stability
terahertz (THz)
Time-domain analysis
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Summary:We propose finite-difference time-domain (FDTD) modeling suitable for healthy skin, basal cell carcinoma, dysplastic pigmentary nevus, and non-dysplastic pigmentary nevus in the frequency range of 0.25 THz to 1.05 THz. Toward this purpose, we utilize the complex-conjugate pole-residue (CCPR) dispersion model, because it is very simple to extract the accurate CCPR coefficients using the powerful vector fitting tool. In the FDTD method, it is of great importance to check the numerical stability conditions. If the coefficients extracted through the vector fitting tool do not satisfy the numerical stability conditions, the particle swarm optimization (PSO) algorithm is employed to obtain the accurate and numerically stable coefficients. Numerical examples are provided to validate our proposed FDTD modeling.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3168160