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The 1996 Gabriel report

Compilation of the dielectric properties of body tissues at RF and microwave frequencies

Camelia Gabriel, PhD and Sami Gabriel, MSc — Physics Department, King's College London, London WC2R 2LS, UK.

Report AL/OE-TR-1996-0037, June 1996. Final report for the period 15 December 1994 – 14 December 1995, prepared for AFOSR/NL Bolling AFB DC 20332-0001. Armstrong Laboratory (AFMC), Occupational and Environmental Health Directorate, Radiofrequency Radiation Division, Brooks Air Force Base, TX 78235-5102.

Approved for public release, distribution unlimited (DTIC AD-A305826). The Report tab holds the report itself; the data it refers to are in the other tabs, drawn from the database instead of the 390 static images of the original document.

Introduction

Recent developments in the field of electromagnetic dosimetry have produced high resolution anatomically correct man and animal models from medical imaging data for use in numerical simulation exercises. The level of detail is such that over 30 tissue types can be identified. The application of such models requires that dielectric properties be allocated to the various tissues at all the frequencies to which the model is exposed. There is, as yet, no consensus on the dielectric data. This project is geared towards this objective. The following has been achieved in the period covered by this report:

  • Three experimental techniques were used to measure the dielectric properties of tissue in the frequency range 10 Hz to 20 GHz. Over 20 tissue types were measured over the full frequency range and over 10 others measured down to 1 MHz only.
  • Internal consistency between the three sets of data was demonstrated in the overlapping frequency regions. When measurements are made on the same sample throughout, the agreement between data sets is particularly good.
  • A comprehensive survey of dielectric data published over more than 45 years has been carried out and presented for comparison purposes. The data obtained in the course of this study fall well within the vast body of literature data where available, and bridge the gaps within it.
  • To facilitate the incorporation of the dielectric data in numerical solutions, their frequency dependence was modelled to a spectrum characterised by 4 dispersion regions. This model was successfully applied to the new experimental data.
  • Finally, the conductivity of tissues below 100 Hz was estimated from the recent measurements mitigated by data from the literature and used to estimate the conductivity of the whole body and of various body parts.

The work is briefly described in this report; the data are presented in graphical and tabular format in the Experimental data tab, graphs and numbers together (Appendices A to D of the original document).

Experimental techniques

Techniques

The dielectric measurements were performed using automatic swept frequency network and impedance analysers. For the frequency range 10 Hz to 10 MHz, an HP4192A impedance analyser. An HP 8753C covered the frequency range 300 kHz to 3 GHz and an HP8720 measured from 130 MHz to 20 GHz. Open ended coaxial probes were used to interface the measuring equipment with the samples in all cases. The technique used with the HP8700 series network analysers has been reported in detail elsewhere (Gabriel et al 1994) and will not be discussed further. The techniques used in conjunction with the impedance analyser will be briefly described.

A 50 ohm impedance matched conical coaxial probe was adapted (Gabriel and Grant 1988) to interface the sample to the HP4192A impedance analyser. The probe is characterised by a fringing capacitance C and conductance G which are a function of its physical dimension and can be measured with the impedance analyser. The characteristic parameters of the probe were calculated from measurements of the impedance components of the probe in air and in a standard sample (water or salt solution). In principle, the dielectric properties (permittivity and conductivity ) of an unknown sample can then be calculated from measurements of the impedance of the probe against an unknown sample using the following relationships, where is the permittivity of free space and the probe constant:

(1)

In practice, the measurement of conductive materials in the frequency range 10 Hz to 10 MHz is not so straightforward. The measurements are affected by two sources of systematic errors, electrode polarisation and lead inductance errors, which become apparent at the lower and higher ends of the frequency range under consideration. Electrode polarisation is a manifestation of molecular charge organisation which occurs at the sample–electrode interface in the presence of water molecules and hydrated ions. In its simplest form the phenomenon is equivalent to a frequency dependent capacitor in series with a resistor. Both components can be approximated by negative power functions of frequency, that is their absolute values decrease with increasing frequency. The effect increases with increasing sample conductivity and its consequences are more pronounced on the capacitance than the conductance of ionic solutions as well as biological samples (Schwan 1992). In the case of biological samples, the poorly conducting cells shield part of the electrode from the ionic current thus reducing the polarisation effects compared to an ionic solution equivalent in conductivity to the intracellular fluid.

The material of the electrode plays an important part in determining its polarisation impedance. In the current study gold plated and sputtered platinum electrodes were tested and a choice was made in favour of the latter. The effect of the rough platinum surface was to shift the electrode polarisation effect to lower frequencies and thus to reduce its contribution in the frequency range under consideration.

The inductance of the probe and connecting cable adds another series component to the measured impedance. Its value could be determined from measurements on standard salt solutions and applying an equivalent circuit analysis. For the present setup the stray inductance is and the following equations were used to account for it:

(2)

where C and G are the corrected capacitance and conductance expressed in terms of the measured values and , the lead inductance L and the angular frequency . The effect of the stray inductance increases with frequency and with sample conductivity.

Figures 1a and 1b show the effect of electrode polarisation and the stray inductance on the uncorrected permittivity and conductivity of a series of salt solutions ranging from zero molar (deionised water) to 0.09 molar. The high permittivity values at low frequencies are a manifestation of electrode polarisation, while negative permittivity values at high frequency show the effect of the stray inductance. Superimposed on these data are the uncorrected permittivity and conductivity of a tissue sample (heart tissue). It can be seen that the low frequency conductivity of the tissue is less than that of 0.01 molar salt solution. It is therefore reasonable to assume that the effect of electrode polarisation on the tissue is also less than that exhibited by the 0.01 molar salt sample. A further observation indicates that the errors in the permittivity and conductivity of the sample are likely to be apparent below 1 kHz and significant below 100 Hz, while the effect of inductance manifests above a few megahertz in the case of tissue samples.

Uncorrected permittivity of a series of salt solutions and of heart tissue, 10 Hz to 10 MHz
a. Permittivity
Uncorrected conductivity of a series of salt solutions and of heart tissue, 10 Hz to 10 MHz
b. Conductivity

Figure 1. Uncorrected values of the permittivity and conductivity of a series of salt solutions. Also shown are the corrected and uncorrected data for heart tissue at 37 °C.

Of the twelve series in the figure, two are in the database and can be explored below: Heart corrected, which is the measured series of Appendix D, and Heart uncorrected, read from the pixels of this figure (median deviation 3%). The comparison between the two is the effect of electrode polarisation, which is what the figure sets out to show. The ten KCl solutions remain visible in the image alone.

Building the chart from the report data…

To correct for electrode polarisation and induction errors, the capacitance and conductance of the tissue sample are evaluated in accordance with (2) and normalised to a salt solution of similar low frequency conductivity. The example in Figures 1a and 1b was corrected with reference to a 0.005 molar salt solution; the corrected dielectric properties are shown for comparison purposes. All impedance analyser tissue measurements were treated in a similar manner.

Uncertainties

The measurement techniques and associated instrumentation used in this study give random reproducibility of about 1% across the frequency range. This statement is based on multiple measurements carried out on standard samples of uniform composition. Biological tissues are inhomogeneous and show considerable variability in structure or composition and hence in dielectric properties. Such variations are natural and may be due to physiological processes or other functional requirements. The spread of values ranges from about ±5% above 100 MHz to ±15% at the lower end of the frequency scale. Care has been taken to eliminate all known sources of systematic errors; however, in view of the assumptions made in correcting for electrode polarisation it is possible that the dielectric parameters below 1 kHz may be undercorrected. This source of errors may affect the dielectric parameters by up to a factor of two.

Materials

Three sources of materials were used: excised animal tissue, mostly ovine, from freshly killed sheep; human autopsy materials; human skin and tongue in vivo. All animal tissues were used as fresh as possible, mostly within two hours of death; human material was obtained 24 to 48 hours after death. The conical probe used in conjunction with the impedance analyser requires relatively large samples, at least a cube of 5 cm linear dimension. In view of this requirement not all samples could be measured at low frequencies.

Results

Measurements across the frequency range

Examples of measurements on the three experimental setups, across the frequency range, are given in the Experimental data tab: where a tissue was measured with more than one instrument, each run appears as a separate series. The agreement between measurements on the three machines was particularly good when the measurements were made on the same sample throughout. To achieve this objective the two network analysers and the impedance analyser were placed in close proximity to each other and interfaced to the same computer. All the measurement procedures were redesigned to operate through LabView, a graphics interface medium from National Instruments running on an Intel Pentium microprocessor. In this arrangement, the measurements could be carried out on all three machines in quick succession.

The dielectric properties of muscle are known to be anisotropic. The data reported were obtained by measurement on the paravertebral muscle. The sample was measured twice, first with a transverse section against the probe and then it was cut along the muscle fibre and re-measured. In view of the radial nature of the fringing field of the coaxial probe these measurements do not represent the true limits of the dielectric properties with the field along and across the fibre. They show, however, the effect of fibre direction and the parts of the spectrum influenced by it.

Human material could not be obtained in sufficient quantities for optimum measurements with the conical probe. Under such conditions the measurements on the impedance analyser were consistently lower than those obtained on the network analyser in the same frequency range. Much smaller samples of human material were measured only in the frequency range above 1 MHz on the two impedance analysers.

Comparison between species

The differences in the dielectric properties of animal and human species are not systematic. The variation in tissue properties within a species may well exceed variations between species. Examples of comparative measurements are given in Figures 2 to 4.

Building the chart from the report data…

Figure 2. Comparison between the dielectric properties of tongue muscle from animal and human samples.

Chart rebuilt from the database. The Human @ 37 °C series comes from Appendix D of the report; the other two were read from the pixels of the original figure, because the report does not tabulate them: median deviation 0.8%, measured by digitising in the same figure the series whose true values are known.

Building the chart from the report data…

Figure 3. Comparison between the dielectric properties of tendon from two animal species.

Chart rebuilt from the database. The Bovine @ 37 °C series comes from Appendix D; the ovine one was read from the pixels of the original figure: median deviation 1.2%.

Building the chart from the report data…

Figure 4. Comparison between the dielectric properties of small intestine tissue from animal and human samples.

Chart rebuilt from the database. The Human @ 37 °C series comes from Appendix D; the ovine one at 30 °C was read from the pixels of the original figure: median deviation 0.8%.

Figures 2, 3 and 4 are now charts built from the database: the series the report tabulates, and those it only showed as a drawing, read from the pixels and recognisable by their violet colour. Figure 1 remains an image, because ten of its twelve series are KCl solutions drawn with three colours only and overlapping markers: separating them is not possible, and where one marker covers another the data underneath no longer exists.

Literature survey

Review of the dielectric properties of tissues

The dielectric properties of tissues have been extracted from the literature of the past five decades and compared to the corresponding data from the current study. The purpose is to provide an objective basis for the evaluation of the experimental data and to reach a broad based consensus on the subject. Reports of dielectric properties of tissues prior to 1950 are difficult to get hold of; they have more historical than practical interest and, with the exception of Osswald (1937), have not been reviewed. The literature in the 1950s and 60s is dominated by the work of H. P. Schwan and his collaborators and has been reviewed and tabulated by Durney et al 1986. Other extensive reviews include Geddes and Baker (1967), who summarised the early reports on the specific resistance of tissues; Stuchly and Stuchly (1980), who tabulated the dielectric properties of tissues in the frequency range 10 kHz to 10 GHz; Foster and Schwan (1989), who provided a wide historical perspective; and Duck (1990), who extended their survey by including more recent data.

In the current survey, data that correspond more closely to living human tissues were selected in preference to any other. Consequently, human tissue and in vivo measurements were selected in preference to animal tissue and in vitro measurements. For in vitro measurements, data obtained at temperatures closest to that of the body and nearest to the time after death were used when available. Most of the literature data were in graphical rather than table form and in a logarithmic rather than linear format. Such data were retrieved at each decade. When tables were available, a more extensive frequency range was often provided. The data were translated from the various authors' preferred set of parameters and units to relative permittivity and conductivity expressed in S/m.

Data obtained at temperatures as low as 20 °C are included in this survey. It was not considered advisable to translate them to body temperature. The temperature coefficients, for both permittivity and conductivity, are tissue-type and frequency dependent. Information on these coefficients is scarce and not sufficiently robust to warrant generalisation and extrapolation. Moreover, the coefficients are highest (~1–2 %/°C) at low frequencies where the uncertainty and the scatter in the data are of a similar or higher order of magnitude than the differences due to 10 or 15 °C.

Presentation of data

Details of the tissue type, animal species, measurement temperature and the reference are included with each series: in this page they appear in the legend of the graph and in the table below it, so that every literature point can be traced to the paper it came from.

Data analysis

Parametric description of the dielectric spectrum

One of the aims of this project is to derive models for the frequency dependence of the dielectric properties of the tissues investigated. The basis of the analysis is the well known dispersions in the dielectric spectrum of biological materials and their expression as a summation of terms corresponding to the main polarisation mechanisms. The spectrum extends from Hz to GHz and shows 4 dispersion regions. The complexity of the structure and composition of biological material is such that each dispersion region is broadened by multiple contributions to it and could be described by a Cole-Cole expression. The model corresponding to the whole spectrum is:

(3)

in which is the permittivity in the terahertz frequency range, is the ionic conductivity and, for each dispersion region, is the relaxation time, the broadening parameter and the drop in permittivity in the frequency range corresponding to .

With a choice of parameters appropriate to each tissue, (3) can be used to predict its dielectric behaviour over the desired frequency range. The parameters of the model were adjusted to correspond to a close fit between the model and the most comprehensive data set available for the particular tissue. The 4-Cole-Cole model describes the frequency dependence of the dielectric properties in the frequency range from Hz to GHz. It can be used with confidence for frequencies above 1 MHz. At lower frequencies, where the literature values are scarce and have larger than average uncertainties, the model should be used with caution in the knowledge that it provides a best estimate based on present knowledge. It is important to stress the limitations of the model, particularly where there are no data at all to support its predictions. The 4-Cole-Cole analysis was carried out on 44 tissue types; the resulting parameters are in the Model parameters tab, and the experimental data they were fitted to in the Experimental data tab.

The dielectric properties below 100 Hz

Electrical properties of body tissues

Below 100 Hz the impedance of biological material is mostly resistive. The contribution of the capacitive component is of the order of 10% in most cases. The literature surveyed in this study shows that there are wide variations in the conductivity values obtained for the same tissue in various studies. The contribution of the tissue permittivity to body current is well within the uncertainty associated with the corresponding tissue conductivity. Therefore, in practice, the estimation of induced current in tissue is based on such conductivity values. Table 1 gives an estimate for conductivity in S/m of the main body tissues below 100 Hz from this study, mitigated by literature values. The values tabulated by Duck (1990) are also shown for comparison. Average values were used where appropriate.

Table 1. Estimates of the conductivity (S/m) of body tissues below 100 Hz at body temperature.

TissueFrom Duck 1990This study
Bladder—0.2
Blood0.680.7
Bone -Cancellous—0.07
Bone -Cortical0.020.02
Bone -Marrow—0.05
Breast—0.06
Cartilage—0.18
Cerebellum—0.1
Cerebro Spinal Fluid1.812
Colon—0.1
Cornea—0.4
Dura—0.5
Fat—0.04
Gall Bladder Bile1.61.4
Grey Matter0.30.1
Heart0.20.1
Kidney0.90.1
Lens—0.25
Liver0.120.07
Lung -Deflated0.10.2
Lung -Inflated0.050.08
Muscle0.40.35
Nerve0.40.03
Pancreas0.130.22
Skin -Wet—0.1
Small Intestine—0.5
Spleen—0.1
Stomach—0.5
Tendon—0.3
Testis—0.4
Thyroid—0.5
Tongue—0.3
Urine3.3—
Vitreous Humour—1.5
White matter0.10.06

Electrical properties of body parts

The values obtained from this study were used to calculate the conductivity of the whole and various parts of the body (Table 2). The necessary integration of the conductivity of tissue to obtain the values in Table 2 was carried out by allocating the appropriate values to a voxel anatomical human model developed at the National Radiological Protection Board (NRPB) to aid dosimetry work. The model, known as NORMAN (normal man), will be described in a future NRPB publication. The results of such an integration carried out at 10 and 100 kHz have also been included for comparison purposes.

Table 2. Conductivity, in S/m, of the whole body and parts of the body, obtained by integrating the conductivity values of Table 1 over various parts of the body.

FrequencyWhole bodyHeadTorsoArmLegNeck
50 Hz0.2160.2540.2230.1950.196—
10 kHz0.2760.2850.256—0.2380.222
100 kHz0.2880.30.332—0.2390.243

Conclusions

The main purpose of this project is to compile a database of dielectric properties of tissues for use by the scientific community in solving electromagnetic interaction problems. This has been achieved through measurement in the frequency range 10 Hz to 20 GHz and modelling the frequency dependence of the dielectric properties of over 30 body tissues to parametric expressions for inclusion in numerical solutions.

References

  • C. Gabriel, T. Y. A. Chan and E. H. Grant, Admittance models for open ended coaxial probes and their place in dielectric spectroscopy, Physics in Medicine and Biology, 39, 12, 2183–2200, 1994.
  • C. Gabriel and E. H. Grant, Dielectric sensors for industrial microwave measurements and control, Mikrowellen und HF Magazin, 15, 643–645, 1989.
  • H. P. Schwan, Linear and nonlinear electrode polarisation and biological materials, Annals of Biomedical Engineering, 20, 269–288, 1992.
  • C. H. Durney, H. Massoudi and M. F. Iskander, Radiofrequency radiation dosimetry handbook, Brooks Air Force Base, USAFSAM-TR-85-73, 1986.
  • L. A. Geddes and L. E. Baker, The specific resistance of biological material: a compendium of data for the biomedical engineer and physiologist, Medical and Biological Engineering, 5, 271–293, 1967.
  • M. A. Stuchly and S. S. Stuchly, Dielectric properties of biological substances: tabulated, Journal of Microwave Power, 15, 1, 19–26, 1980.
  • K. R. Foster and H. P. Schwan, Dielectric properties of tissues and biological materials: a critical review, Critical Reviews in Biomedical Engineering, 17, 1, 25–104, 1989.
  • F. A. Duck, Physical properties of tissue: a comprehensive reference book, Academic Press, Harcourt Brace Jovanovich, 1990.

Original web edition written by Sami Gabriel, last updated 5 November 1997. Transcribed here with the figures and tables served from the database; the wording of the report is unchanged.

Tissue

The model curve spans the whole range handled by the server (10 Hz to 100 GHz); the experimental data stop at 20 GHz. Where a report table contains more than one measurement run, each run is drawn as a separate series: those are the frequency bands covered by different probes.

Series shown
SeriesSourcePointsFrequency range (Hz)Species and conditionsReference

Permittivity, loss factor and conductivity are related by σ = 2πfε0ε″, but in the report they are not always consistent: the values are reproduced as published, without correction. In the measured tables 63 points out of 6636 differ by more than 2% (up to 16%, in bands where the loss factor jumps while permittivity and conductivity stay smooth); in the literature tables the discrepancy reaches a factor of ten. The plots use permittivity and conductivity, the pair that the Cole-Cole fit reproduces.

Numerical values

The points of one series, in the values published by the report. The buttons save the series with its provenance in the header.

Four-dispersion Cole-Cole parameters

The parameters of equation (3) for each of the 57 tissues known to the server: the summary table of Appendix C, extended over the years with the tissues added by IFAC-CNR. They are the values the calculation actually uses, read from the same database rows. Relaxation times are given in the submultiples used by the report.

Tissue ε∞σi (S/m) Δε1τ1 (ps)α1 Δε2τ2 (ns)α2 Δε3τ3 (µs)α3 Δε4τ4 (ms)α4
Air10001001001001
Aorta40.25408.8420.1503.1830.11.0e+5159.160.21.0e+71.5920
Bladder2.50.2168.8420.1400159.160.11.0e+5159.160.21.0e+715.9150
Blood40.7568.3770.15200132.630.10159.160.2015.9150
Blood vessel40.25408.8420.1503.1830.11.0e+5159.160.21.0e+71.5920
Body fluid41.5657.234030159.160.10159.160015.9150
Bone cancellous2.50.071813.2630.2230079.5770.2520000159.160.22.0e+715.9150
Bone cortical2.50.021013.2630.218079.5770.25000159.160.21.0e+515.9150
Bone marrow2.50.000537.9580.22515.9150.150001591.50.12.0e+615.9150.1
Brain grey matter40.02457.9580.140015.9150.152.0e+5106.10.224.5e+75.3050
Brain white matter40.02327.9580.11007.9580.14000053.0520.33.5e+77.9580.02
Breast fat2.50.01317.680.11563.660.150000454.70.12.0e+713.260
Cartilage40.153813.2630.152500144.690.151.0e+5318.310.14.0e+715.9150
Cerebellum40.04407.9580.170015.9150.152.0e+5106.10.224.5e+75.3050
Cerebro spinal fluid42657.9580.1401.59200159.160015.9150
Cervix40.3457.9580.120015.9150.11.5e+5106.10.184.0e+71.5920
Colon40.01507.9580.13000159.160.21.0e+5159.160.24.0e+71.5920
Cornea40.4487.9580.14000159.160.051.0e+515.9150.24.0e+715.9150
Duodenum40.5607.9580.1200079.5770.11.0e+5159.160.24.0e+715.9150
Dura40.5407.9580.152007.9580.110000159.160.21.0e+615.9150
Eye sclera40.5507.9580.14000159.160.11.0e+5159.160.25.0e+615.9150
Fat2.50.0137.9580.21515.9150.133000159.160.051.0e+77.9580.01
Gall bladder40.9557.5790.05401.59201000159.160.21000015.9150
Gall bladder bile41.4667.5790.05501.59200159.160.2015.9150.2
Gland40.5557.9580.12500159.160.11.0e+5159.160.24.0e+715.9150
Heart40.05507.9580.11200159.160.054.5e+572.3430.222.5e+74.5470
Kidney40.05477.9580.13500198.940.222.5e+579.5770.223.0e+74.5470
Lens40.3427.9580.1150079.5770.12.0e+5159.160.14.0e+715.9150
Liver40.02398.8420.16000530.520.25000022.7360.23.0e+715.9150.05
Lung deflated40.2457.9580.11000159.160.15.0e+5159.160.21.0e+715.9150
Lung inflated2.50.03187.9580.150063.6620.12.5e+5159.160.24.0e+77.9580
Lymph40.5557.9580.12500159.160.11.0e+5159.160.24.0e+715.9150
Mucous membrane40.0004397.9580.128079.5770300001.5920.16300001.5920.2
Muscle40.2507.2340.17000353.680.11.2e+6318.310.12.5e+72.2740
Nail2.50.021013.2630.218079.5770.25000159.160.21.0e+515.9150
Nerve40.006267.9580.1500106.10.157000015.9150.24.0e+715.9150
Oesophagus40.5607.9580.1200079.5770.11.0e+5159.160.24.0e+715.9150
Ovary40.3408.8420.1540015.9150.251.0e+5159.160.274.0e+715.9150
Pancreas40.5557.9580.12500159.160.11.0e+5159.160.24.0e+715.9150
Prostate40.4557.9580.15000159.160.11.0e+5159.160.24.0e+715.9150
Retina40.5507.9580.14000159.160.11.0e+5159.160.25.0e+615.9150
Skin dry40.0002327.2340110032.4810.20159.160.2015.9150.2
Skin wet40.0004397.9580.128079.5770300001.5920.16300001.5920.2
Small intestine40.5507.9580.110000159.160.15.0e+5159.160.24.0e+715.9150
Spinal cord40.006267.9580.1500106.10.157000015.9150.24.0e+715.9150
Spleen40.03487.9580.1250063.6620.152.0e+5265.260.255.0e+76.3660
Stomach40.5607.9580.1200079.5770.11.0e+5159.160.24.0e+715.9150
Tendon40.254212.2430.1606.3660.160000318.310.222.0e+71.3260
Testis40.4557.9580.15000159.160.11.0e+5159.160.24.0e+715.9150
Thymus40.5557.9580.12500159.160.11.0e+5159.160.24.0e+715.9150
Thyroid40.5557.9580.12500159.160.11.0e+5159.160.24.0e+715.9150
Tongue40.25507.9580.14000159.160.11.0e+5159.160.24.0e+715.9150
Tooth2.50.021013.2630.218079.5770.25000159.160.21.0e+515.9150
Trachea2.50.3387.9580.140063.6620.15000015.9150.21.0e+615.9150
Uterus40.2557.9580.180031.8310.13.0e+5159.160.23.5e+71.0610
Vacuum10001001001001
Vitreous humor41.5657.234030159.160.10159.160015.9150

The report analysed 44 tissue types; the server knows 57, the difference being entries added later that reuse the parameters of an existing tissue. The Technical insights page says which, and why.

C. Gabriel and S. Gabriel, Compilation of the dielectric properties of body tissues at RF and microwave frequencies, Report AL/OE-TR-1996-0037, Armstrong Laboratory, Brooks Air Force Base, 1996. Approved for public release, distribution unlimited.

Keywords: Gabriel 1996, Experimental data, Literature survey, Cole-Cole fit, Four-dispersion model, Permittivity, Conductivity, Electrode polarisation, Coaxial probe, NORMAN, Low frequency conductivity