Study On Inverse Heat Source Problem Based On Infrared Imaging Technology

The abnormal inner heat source in human body shows a higher surface temperature in corresponding part area of the body. The medical infrared imaging technology is a noninvasive imaging technology, diagnosing abnormal inner heart source by taking infrared heat image of body of the surface temperature distribution, which provide an effective basis for nondestructive diagnosis of human disease.The main contents of this paper are as follows:1. A system with thermostatical but adjustable heat source was developed based on the single-chip microcontroller MCS-51. The temperature accuracy of this system is plus and minus of half centigrade. The system was an experimental platform to study the heat conduction problem and inverse heat conduction problem.2. The models of bioheat transfer for uniform and stratified tissue were built based on finite element method to study the influence of different parameters of heat source and biological tissue properties on surface temperature distribution. The relationship between heat source related parameters and surface temperature distribution was verified by infrared technology.3. The relationship between the surface temperature distribution of tissue and the abnormal inner heat source was achieved by analysis on the biological heat transfer theory. Estimate the depth of heat source inversely by using the surface temperature distribution information which was obtained from the models of bioheat transfer in simulation software ANSYS. The feasibility of depth estimation method for heat source was verified by using this bioheat transfer experiment result.4. Firstly train a BP neural network by using the data from simulation result and experiment result, and then the depth of heat source, temperature of heat source and the temperature of the different depth layer were estimated after network training.The numerical simulation and a series of biological tissue heat transfer experiments showed those two methods to evaluate the inner heat source information by the surface temperature distribution. Build a proper bioheat transfer model based on surface temperature distribution to estimate the interior heat source information. The quantitative analysis can be realized from qualitative analysis.