Limits of Effective Material Properties in the Context of an Electromagnetic Tissue Model

Most calibration schemes for reflection-based tissue spectroscopy in the mm-wave/ THz-frequency range are based on homogenized, frequency-dependent tissue models where macroscopic material parameters have either been determined by measurement or calculated using effective material theory. However, as the resolution of measurement at these frequencies captures the underlying microstructure of the tissue, we will investigate the validity limits of such effective material models over a wide frequency range (10 MHz - 200 GHz). Embedded in a parameterizable virtual workbench, we implemented a numerical homogenization method using a hierarchical multiscale approach to capture both the dispersive and tensorial electromagnetic properties of the tissue, and determined at which frequency this homogenized model deviated from a full-wave electromagnetic reference model within the framework of a Monte-Carlo analysis. Simulations were carried out using a generic hypodermal tissue that emulated the morphology of the microstructure. Results showed that the validity limit occurred at surprisingly low frequencies and thus contradicted the traditional usage of homogenized tissue models. The reasons for this are explained in detail and thus it is shown how both the lower “allowed” and upper “forbidden” frequency ranges can be used for frequency-selective classification/identification of specific material and structural properties employing a supervised machine-learning approach. Using the implemented classifier, we developed a method to identify specific frequency bands in the forbidden frequency range to optimize the reliability of material classification.

[1]  Sonja Huclova Modeling of cell suspensions and biological tissue for computational electromagnetics , 2011 .

[2]  Alexandre Locquet,et al.  Polarization-resolved terahertz imaging of intra- and inter-laminar damages in hybrid fiber-reinforced composite laminate subject to low-velocity impact , 2016 .

[3]  Brian Cabral,et al.  Imaging vector fields using line integral convolution , 1993, SIGGRAPH.

[4]  V. Myroshnychenko,et al.  Modeling dielectric properties of composites by finite-element method , 2002 .

[5]  Ke Yang,et al.  Biomedical Applications of Terahertz Spectroscopy and Imaging. , 2016, Trends in biotechnology.

[6]  A. Locquet,et al.  Nondestructive evaluation of forced delamination in glass fiber-reinforced composites by terahertz and ultrasonic waves , 2015 .

[7]  Giuseppe Piro,et al.  Terahertz electromagnetic field propagation in human tissues: A study on communication capabilities , 2016, Nano Commun. Networks.

[8]  Ullrich R. Pfeiffer,et al.  Toward Mobile Integrated Electronic Systems at THz Frequencies , 2020, Journal of Infrared, Millimeter, and Terahertz Waves.

[9]  Sonja Huclova,et al.  Modelling effective dielectric properties of materials containing diverse types of biological cells , 2010 .

[10]  D. Erni,et al.  Accurate Multiscale Skin Model Suitable for Determining the Sensitivity and Specificity of Changes of Skin Components , 2014 .

[11]  Reza Ehsani,et al.  A Comprehensive Review on Food Applications of Terahertz Spectroscopy and Imaging. , 2019, Comprehensive reviews in food science and food safety.

[12]  Reza Faraji-Dana,et al.  A New Open-Source Toolbox for Estimating the Electrical Properties of Biological Tissues in the Terahertz Frequency band , 2013 .

[13]  H. Looyenga Dielectric constants of heterogeneous mixtures , 1965 .

[14]  D. A. G. Bruggeman Berechnung verschiedener physikalischer Konstanten von heterogenen Substanzen. II. Dielektrizitätskonstanten und Leitfähigkeiten von Vielkristallen der nichtregulären Systeme , 1936 .

[15]  D. Erni,et al.  A Self-Matched Leaky-Wave Antenna for Ultrahigh-Field MRI with Low SAR , 2020, 2001.10410.

[16]  Martin Vossiek,et al.  MIMO-SAR based millimeter-wave imaging for contactless assessment of burned skin , 2017, 2017 IEEE MTT-S International Microwave Symposium (IMS).

[17]  Sonja Huclova,et al.  Modelling and validation of dielectric properties of human skin in the MHz region focusing on skin layer morphology and material composition , 2012 .

[18]  H. Richter Mote3D: an open-source toolbox for modelling periodic random particulate microstructures , 2017 .

[19]  M. Clemens,et al.  Numerical Computation of Temperature Elevation in Human Skin Due to Electromagnetic Exposure in the THz Frequency Range , 2015, IEEE Transactions on Terahertz Science and Technology.

[20]  Joachim Oberhammer,et al.  Millimeter-Wave Tissue Diagnosis: The Most Promising Fields for Medical Applications , 2015, IEEE Microwave Magazine.

[21]  J. Kong,et al.  Effective permittivity of dielectric mixtures , 1988 .

[22]  Thomas Kaiser,et al.  A Compact Measurement Setup for In-Situ Material Characterization in the Lower THz Range , 2019, 2019 Second International Workshop on Mobile Terahertz Systems (IWMTS).

[23]  Wei Liu,et al.  A Non-destructive Terahertz Spectroscopy-Based Method for Transgenic Rice Seed Discrimination via Sparse Representation , 2017 .

[24]  W. J. Ellisona Permittivity of Pure Water, at Standard Atmospheric Pressure, over the Frequency Range 0–25 THz and the Temperature Range 0–100 °C , 2007 .

[25]  S. Alekseev,et al.  Human skin permittivity determined by millimeter wave reflection measurements , 2007, Bioelectromagnetics.

[26]  Valery V. Tuchin,et al.  The progress and perspectives of terahertz technology for diagnosis of neoplasms: a review , 2019, Journal of Optics.

[27]  Jan Barowski,et al.  Millimeter-Wave Characterization of Dielectric Materials Using Calibrated FMCW Transceivers , 2018, IEEE Transactions on Microwave Theory and Techniques.

[28]  A. Glisson,et al.  Electromagnetic mixing formulas and applications , 2000, IEEE Antennas and Propagation Magazine.

[29]  Koji Asami,et al.  Characterization of heterogeneous systems by dielectric spectroscopy , 2002 .

[30]  T. Hanai Theory of the dielectric dispersion due to the interfacial polarization and its application to emulsions , 1960 .