Early detection of a tumor makes it more probable that the patient will, finally, recover. The current approach in diagnosis focuses on microbiological, immunological, and pathological aspects rather than on the “metamaterial geometry” of the diseases. The determination of the effective properties of the biological tissue samples and treating them as disordered media has become possible with the development of effective medium approximation techniques. The obtained effective permittivity values are affected by various factors, like the amount of different cell types in the sample. The identification of the cancer affected areas based on their effective medium properties was performed.
Herein, we are making a step forward dealing with the novel theoretic and computational determination of the effective permittivity of the composite biological media. The presented methodology stands for as a perfect tool allowing to evaluate the permittivity tensor of the sample analytically with no needs of human intervention by performing an experimental analysis to measure the parameters of the sample. The distribution of the cancerous cells is taken into account. Doing so, we end up with the determination of the tensor components for random multi-phase composites. The former provides a fertile ground aiming to detect and treat cancer. It has been concluded that the increase of the concentration of the cancerous cells and their distribution in the sample makes a dramatic impact on the obtained numerical results.
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