Modeling of brightness temperature in biological tissue

Abstract

Microwave radiothermometry is a passive and non-invasive technique which is used to measure the depth temperature of biological tissue. The method of microwave radio thermometry is based on measuring the intensity of the own electromagnetic radiation of the internal tissues of the patient in the ultra-high frequency range. The temperature measured by the instrument is called brightness. Modeling the brightness temperature is carried out to research the effectiveness of the method of medical diagnostics based on microwave radiothermometry data. A mathematical model of the distribution of the electromagnetic and temperature fields in the mammary gland was built. A numerical simulation of the electromagnetic and temperature fields for models differing in internal structure was carried out. The structure of the mammary gland is a multicomponent, heterogeneous environment and consists of the following types of biological tissues: skin, adipose tissue, muscle tissue, milk lobules, blood flow. The contribution of the electromagnetic field to the formation of the brightness temperature was determined. The dependence of the brightness temperature on the radius of the tumor is presented.

Application of computer simulation results and machine learning in analysis of microwave radiothermometry data

“…However, in general, the results obtained show high sufficiently computer models adequacy degree the obtained in [5,6,7], the possibility of their use in a hybrid method development for diagnosing breast cancer based on microwave radiothermometry data.…”

“…First of all, the need arose to develop adequate computer physical and mathematical models for studying the spatial and temporal temperature fields dynamics in the biological mammary gland tissues. In recent years, during theoretical research, a number of mathematical models have been created that describe the temperature distribution in human organs [4,5,6,7]. Including in works [5,6,7], when modeling, the main macroscopic factors determining thermal dynamics were taken into account.…”

“…In recent years, during theoretical research, a number of mathematical models have been created that describe the temperature distribution in human organs [4,5,6,7]. Including in works [5,6,7], when modeling, the main macroscopic factors determining thermal dynamics were taken into account. Instead of traditionally used models with homogeneous parameters in a multilayer approximation (usually limited to four tissue types -skin, muscles, mammary gland, tumors), a close to realistic geometric tissues structure with heterogeneous characteristics was used in the simulation.…”